{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7d2baf3a",
   "metadata": {},
   "source": [
    "## 读取数据\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d0bd7a98",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "# 读取CSV文件\n",
    "df = pd.read_csv('c12diet.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "05464cad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Unnamed: 0         IDind    wave         hhid  line       d3kcal  \\\n",
      "0           0  1.111010e+11  2011.0  111101001.0   1.0  2274.209022   \n",
      "1           1  1.111010e+11  2011.0  111101001.0   2.0  1097.008045   \n",
      "2           2  1.111010e+11  2011.0  111101002.0   1.0  1447.790423   \n",
      "3           3  1.111010e+11  2011.0  111101003.0   1.0  1340.616965   \n",
      "4           4  1.111010e+11  2011.0  111101004.0   1.0  2112.502534   \n",
      "\n",
      "      d3carbo       d3fat    d3protn    t1   t2   t3   t4   t5    commid  \n",
      "0  270.188350   94.840979  84.014570  11.0  1.0  1.0  1.0  1.0  111101.0  \n",
      "1  145.637645   35.642671  48.046437  11.0  1.0  1.0  1.0  1.0  111101.0  \n",
      "2  169.892992   46.720233  86.280497  11.0  1.0  1.0  1.0  2.0  111101.0  \n",
      "3  161.743972   55.174306  48.553338  11.0  1.0  1.0  1.0  3.0  111101.0  \n",
      "4  215.692990  105.445924  74.824811  11.0  1.0  1.0  1.0  4.0  111101.0  \n"
     ]
    }
   ],
   "source": [
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "baf4c3de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'IDind', 'wave', 'hhid', 'line', 'd3kcal', 'd3carbo',\n",
       "       'd3fat', 'd3protn', 't1', 't2', 't3', 't4', 't5', 'commid'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "76d993a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(columns=['IDind'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7dceb0a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Unnamed: 0</th>\n",
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       "      <th>hhid</th>\n",
       "      <th>line</th>\n",
       "      <th>d3kcal</th>\n",
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       "      <td>3.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>111101004.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2112.502534</td>\n",
       "      <td>215.692990</td>\n",
       "      <td>105.445924</td>\n",
       "      <td>74.824811</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0    wave         hhid  line       d3kcal     d3carbo       d3fat  \\\n",
       "0           0  2011.0  111101001.0   1.0  2274.209022  270.188350   94.840979   \n",
       "1           1  2011.0  111101001.0   2.0  1097.008045  145.637645   35.642671   \n",
       "2           2  2011.0  111101002.0   1.0  1447.790423  169.892992   46.720233   \n",
       "3           3  2011.0  111101003.0   1.0  1340.616965  161.743972   55.174306   \n",
       "4           4  2011.0  111101004.0   1.0  2112.502534  215.692990  105.445924   \n",
       "\n",
       "     d3protn    t1   t2   t3   t4   t5    commid  \n",
       "0  84.014570  11.0  1.0  1.0  1.0  1.0  111101.0  \n",
       "1  48.046437  11.0  1.0  1.0  1.0  1.0  111101.0  \n",
       "2  86.280497  11.0  1.0  1.0  1.0  2.0  111101.0  \n",
       "3  48.553338  11.0  1.0  1.0  1.0  3.0  111101.0  \n",
       "4  74.824811  11.0  1.0  1.0  1.0  4.0  111101.0  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "7c72e5b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(columns=['hhid','line'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "3b6dbfe3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Unnamed: 0    wave       d3kcal     d3carbo       d3fat    d3protn    t1  \\\n",
       "0           0  2011.0  2274.209022  270.188350   94.840979  84.014570  11.0   \n",
       "1           1  2011.0  1097.008045  145.637645   35.642671  48.046437  11.0   \n",
       "2           2  2011.0  1447.790423  169.892992   46.720233  86.280497  11.0   \n",
       "3           3  2011.0  1340.616965  161.743972   55.174306  48.553338  11.0   \n",
       "4           4  2011.0  2112.502534  215.692990  105.445924  74.824811  11.0   \n",
       "\n",
       "    t2   t3   t4   t5    commid  \n",
       "0  1.0  1.0  1.0  1.0  111101.0  \n",
       "1  1.0  1.0  1.0  1.0  111101.0  \n",
       "2  1.0  1.0  1.0  2.0  111101.0  \n",
       "3  1.0  1.0  1.0  3.0  111101.0  \n",
       "4  1.0  1.0  1.0  4.0  111101.0  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "ba802333",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns = {'Unnamed: 0':'id'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c1212211",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   id    wave       d3kcal     d3carbo       d3fat    d3protn    t1   t2   t3  \\\n",
       "0   0  2011.0  2274.209022  270.188350   94.840979  84.014570  11.0  1.0  1.0   \n",
       "1   1  2011.0  1097.008045  145.637645   35.642671  48.046437  11.0  1.0  1.0   \n",
       "2   2  2011.0  1447.790423  169.892992   46.720233  86.280497  11.0  1.0  1.0   \n",
       "3   3  2011.0  1340.616965  161.743972   55.174306  48.553338  11.0  1.0  1.0   \n",
       "4   4  2011.0  2112.502534  215.692990  105.445924  74.824811  11.0  1.0  1.0   \n",
       "\n",
       "    t4   t5    commid  \n",
       "0  1.0  1.0  111101.0  \n",
       "1  1.0  1.0  111101.0  \n",
       "2  1.0  2.0  111101.0  \n",
       "3  1.0  3.0  111101.0  \n",
       "4  1.0  4.0  111101.0  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "36fa9bf4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>wave</th>\n",
       "      <th>d3kcal</th>\n",
       "      <th>d3carbo</th>\n",
       "      <th>d3fat</th>\n",
       "      <th>d3protn</th>\n",
       "      <th>t1</th>\n",
       "      <th>t2</th>\n",
       "      <th>t3</th>\n",
       "      <th>t4</th>\n",
       "      <th>t5</th>\n",
       "      <th>commid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2274.209022</td>\n",
       "      <td>270.188350</td>\n",
       "      <td>94.840979</td>\n",
       "      <td>84.014570</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1097.008045</td>\n",
       "      <td>145.637645</td>\n",
       "      <td>35.642671</td>\n",
       "      <td>48.046437</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1447.790423</td>\n",
       "      <td>169.892992</td>\n",
       "      <td>46.720233</td>\n",
       "      <td>86.280497</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1340.616965</td>\n",
       "      <td>161.743972</td>\n",
       "      <td>55.174306</td>\n",
       "      <td>48.553338</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2112.502534</td>\n",
       "      <td>215.692990</td>\n",
       "      <td>105.445924</td>\n",
       "      <td>74.824811</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102570</th>\n",
       "      <td>102570</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1205.600000</td>\n",
       "      <td>264.833333</td>\n",
       "      <td>3.093333</td>\n",
       "      <td>29.206667</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>552304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102571</th>\n",
       "      <td>102571</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>686.000000</td>\n",
       "      <td>150.680000</td>\n",
       "      <td>2.020000</td>\n",
       "      <td>16.046667</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>552304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102572</th>\n",
       "      <td>102572</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1512.490000</td>\n",
       "      <td>297.930533</td>\n",
       "      <td>17.005867</td>\n",
       "      <td>41.518000</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>552304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102573</th>\n",
       "      <td>102573</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1528.856667</td>\n",
       "      <td>310.170533</td>\n",
       "      <td>14.062533</td>\n",
       "      <td>40.014667</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>552304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102574</th>\n",
       "      <td>102574</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>721.086667</td>\n",
       "      <td>138.396933</td>\n",
       "      <td>9.059600</td>\n",
       "      <td>21.290667</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>552304.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15002 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id    wave       d3kcal     d3carbo       d3fat    d3protn    t1  \\\n",
       "0            0  2011.0  2274.209022  270.188350   94.840979  84.014570  11.0   \n",
       "1            1  2011.0  1097.008045  145.637645   35.642671  48.046437  11.0   \n",
       "2            2  2011.0  1447.790423  169.892992   46.720233  86.280497  11.0   \n",
       "3            3  2011.0  1340.616965  161.743972   55.174306  48.553338  11.0   \n",
       "4            4  2011.0  2112.502534  215.692990  105.445924  74.824811  11.0   \n",
       "...        ...     ...          ...         ...         ...        ...   ...   \n",
       "102570  102570  2011.0  1205.600000  264.833333    3.093333  29.206667  55.0   \n",
       "102571  102571  2011.0   686.000000  150.680000    2.020000  16.046667  55.0   \n",
       "102572  102572  2011.0  1512.490000  297.930533   17.005867  41.518000  55.0   \n",
       "102573  102573  2011.0  1528.856667  310.170533   14.062533  40.014667  55.0   \n",
       "102574  102574  2011.0   721.086667  138.396933    9.059600  21.290667  55.0   \n",
       "\n",
       "         t2   t3   t4    t5    commid  \n",
       "0       1.0  1.0  1.0   1.0  111101.0  \n",
       "1       1.0  1.0  1.0   1.0  111101.0  \n",
       "2       1.0  1.0  1.0   2.0  111101.0  \n",
       "3       1.0  1.0  1.0   3.0  111101.0  \n",
       "4       1.0  1.0  1.0   4.0  111101.0  \n",
       "...     ...  ...  ...   ...       ...  \n",
       "102570  2.0  3.0  4.0  19.0  552304.0  \n",
       "102571  2.0  3.0  4.0  19.0  552304.0  \n",
       "102572  2.0  3.0  4.0  20.0  552304.0  \n",
       "102573  2.0  3.0  4.0  20.0  552304.0  \n",
       "102574  2.0  3.0  4.0  20.0  552304.0  \n",
       "\n",
       "[15002 rows x 12 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 筛选出 \"wave\" 列值为 \"2011\" 的行\n",
    "df1 = df[df['wave'] == 2011]\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "757fab90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "73.61566459993308"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['d3fat'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "72aa05a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "d507543e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns = {'d3kcal':'热量'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "459bb36a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns = {'d3carbo':'碳水化合物'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "b5d5b3c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns = {'d3fat':'脂肪'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9cea84af",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns = {'d3protn':'蛋白质'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "b5f842b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings(\"ignore\")\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "columns_of_interest = ['热量','碳水化合物','脂肪','蛋白质']\n",
    "df_filt = df[columns_of_interest]\n",
    "corr_matrix = df_filt.corr()\n",
    "# 绘制热力图\n",
    "plt.figure(figsize=(5,5))\n",
    "sns.heatmap(corr_matrix, annot=True,fmt=\".2f\",cmap='viridis',\n",
    "           cbar=True,square=True)\n",
    "\n",
    "plt.title(\"变量之间的相关性热图\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "7c0c3750",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "wave\n",
       "1991.0    2425.119552\n",
       "1993.0    2327.940400\n",
       "1997.0    2176.877281\n",
       "2000.0    2145.120018\n",
       "2004.0    2097.624135\n",
       "2006.0    2077.247727\n",
       "2009.0    2046.369174\n",
       "2011.0    1882.855691\n",
       "Name: 热量, dtype: float64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('wave')['热量'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "4de120bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wave</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1991.0</th>\n",
       "      <td>1991.0</td>\n",
       "      <td>59.325814</td>\n",
       "      <td>70.703532</td>\n",
       "      <td>398.262202</td>\n",
       "      <td>2425.119552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993.0</th>\n",
       "      <td>1993.0</td>\n",
       "      <td>58.703638</td>\n",
       "      <td>69.378020</td>\n",
       "      <td>376.856898</td>\n",
       "      <td>2327.940400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997.0</th>\n",
       "      <td>1997.0</td>\n",
       "      <td>61.515746</td>\n",
       "      <td>65.225034</td>\n",
       "      <td>337.639610</td>\n",
       "      <td>2176.877281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000.0</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>68.320312</td>\n",
       "      <td>63.979818</td>\n",
       "      <td>315.137178</td>\n",
       "      <td>2145.120018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004.0</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>66.184202</td>\n",
       "      <td>63.821294</td>\n",
       "      <td>306.780723</td>\n",
       "      <td>2097.624135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006.0</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>68.197380</td>\n",
       "      <td>63.235022</td>\n",
       "      <td>297.047528</td>\n",
       "      <td>2077.247727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009.0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>71.916333</td>\n",
       "      <td>63.351046</td>\n",
       "      <td>282.078332</td>\n",
       "      <td>2046.369174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011.0</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>73.615665</td>\n",
       "      <td>61.939357</td>\n",
       "      <td>239.129984</td>\n",
       "      <td>1882.855691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             0          1          2           3            4\n",
       "wave                                                         \n",
       "1991.0  1991.0  59.325814  70.703532  398.262202  2425.119552\n",
       "1993.0  1993.0  58.703638  69.378020  376.856898  2327.940400\n",
       "1997.0  1997.0  61.515746  65.225034  337.639610  2176.877281\n",
       "2000.0  2000.0  68.320312  63.979818  315.137178  2145.120018\n",
       "2004.0  2004.0  66.184202  63.821294  306.780723  2097.624135\n",
       "2006.0  2006.0  68.197380  63.235022  297.047528  2077.247727\n",
       "2009.0  2009.0  71.916333  63.351046  282.078332  2046.369174\n",
       "2011.0  2011.0  73.615665  61.939357  239.129984  1882.855691"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_dsfat_by_year = df.groupby('wave')['脂肪'].mean()\n",
    "\n",
    "average_dspro_by_year = df.groupby('wave')['蛋白质'].mean()\n",
    "average_dscarb_by_year = df.groupby('wave')['碳水化合物'].mean()\n",
    "# 获取 Series 的索引列\n",
    "index_column = average_dsfat_by_year.index.to_series()\n",
    "\n",
    "# 将 Series 转换为 DataFrame，并指定列名\n",
    "indexdf = index_column.to_frame(name='wave')\n",
    "\n",
    "\n",
    "newdf = average_dsfat_by_year.to_frame()\n",
    "newdf1 = average_dspro_by_year.to_frame()\n",
    "newdf = pd.concat([indexdf, newdf],ignore_index=True,axis=1)\n",
    "newdf.columns.values[0] = '1'\n",
    "newdf.columns.values[1] = '2'\n",
    "newdf.columns\n",
    "# newdf = average_dsfat_by_year.to_frame()\n",
    "# newdf = newdf.rename(columns={0: 'wave'})\n",
    "# newdf.columns\n",
    "\n",
    "# 绘制折线图\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(newdf.iloc[:, 0], newdf.iloc[:, 1], marker='o', linestyle='-', color='b', label='脂肪')\n",
    "\n",
    "\n",
    "newdf1 = pd.concat([newdf, newdf1],ignore_index=True,axis=1)\n",
    "\n",
    "newdf2 = average_dscarb_by_year.to_frame()\n",
    "newdf2 = pd.concat([newdf1, newdf2],ignore_index=True,axis=1)\n",
    "\n",
    "average_dscarb_by_year = df.groupby('wave')['热量'].mean()\n",
    "newdf3 = average_dscarb_by_year.to_frame()\n",
    "newdf3 = pd.concat([newdf2, newdf3],ignore_index=True,axis=1)\n",
    "newdf3\n",
    "\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 2], marker='o', linestyle='-', label='蛋白质',color = 'red')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 3]/5, marker='o', linestyle='-',label='碳水',color = 'yellow')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 4]/37, marker='o', linestyle='-', label='热量',color = 'black')\n",
    "# 设置标题和标签\n",
    "plt.title('平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "newdf3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "88c936c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>70.461676</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>21.0</td>\n",
       "      <td>63.946691</td>\n",
       "      <td>68.193341</td>\n",
       "      <td>68.736664</td>\n",
       "      <td>60.987328</td>\n",
       "      <td>66.766071</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>62.195203</td>\n",
       "      <td>61.802710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>23.0</td>\n",
       "      <td>68.616903</td>\n",
       "      <td>68.280178</td>\n",
       "      <td>68.559136</td>\n",
       "      <td>62.683895</td>\n",
       "      <td>63.374055</td>\n",
       "      <td>59.554715</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>31.0</td>\n",
       "      <td>72.910656</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>76.495921</td>\n",
       "      <td>85.300937</td>\n",
       "      <td>82.537877</td>\n",
       "      <td>82.418324</td>\n",
       "      <td>80.640344</td>\n",
       "      <td>73.591152</td>\n",
       "      <td>59.136970</td>\n",
       "      <td>62.454819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>37.0</td>\n",
       "      <td>81.534484</td>\n",
       "      <td>70.152246</td>\n",
       "      <td>68.067432</td>\n",
       "      <td>74.363361</td>\n",
       "      <td>67.885204</td>\n",
       "      <td>55.447684</td>\n",
       "      <td>62.647286</td>\n",
       "      <td>56.871048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>41.0</td>\n",
       "      <td>56.875004</td>\n",
       "      <td>60.198557</td>\n",
       "      <td>51.604052</td>\n",
       "      <td>49.292454</td>\n",
       "      <td>51.569285</td>\n",
       "      <td>46.226218</td>\n",
       "      <td>42.935504</td>\n",
       "      <td>44.982823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>42.0</td>\n",
       "      <td>89.865460</td>\n",
       "      <td>77.362574</td>\n",
       "      <td>67.349661</td>\n",
       "      <td>72.642372</td>\n",
       "      <td>69.560253</td>\n",
       "      <td>61.787147</td>\n",
       "      <td>55.541919</td>\n",
       "      <td>60.934674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>43.0</td>\n",
       "      <td>77.496301</td>\n",
       "      <td>82.671118</td>\n",
       "      <td>81.726250</td>\n",
       "      <td>77.552858</td>\n",
       "      <td>83.351238</td>\n",
       "      <td>74.753452</td>\n",
       "      <td>72.585605</td>\n",
       "      <td>73.163837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45.0</th>\n",
       "      <td>45.0</td>\n",
       "      <td>79.657965</td>\n",
       "      <td>73.634073</td>\n",
       "      <td>65.781968</td>\n",
       "      <td>63.379734</td>\n",
       "      <td>74.073061</td>\n",
       "      <td>63.978769</td>\n",
       "      <td>64.439179</td>\n",
       "      <td>60.694680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52.0</th>\n",
       "      <td>52.0</td>\n",
       "      <td>63.552951</td>\n",
       "      <td>60.936975</td>\n",
       "      <td>60.805511</td>\n",
       "      <td>56.894529</td>\n",
       "      <td>58.973739</td>\n",
       "      <td>57.906784</td>\n",
       "      <td>51.900301</td>\n",
       "      <td>55.483968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>55.0</td>\n",
       "      <td>81.654646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0          1          2          3          4          5          6  \\\n",
       "t1                                                                             \n",
       "11.0  11.0  70.461676   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "21.0  21.0  63.946691  68.193341  68.736664  60.987328  66.766071   0.000000   \n",
       "23.0  23.0  68.616903  68.280178  68.559136  62.683895  63.374055  59.554715   \n",
       "31.0  31.0  72.910656   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "32.0  32.0  76.495921  85.300937  82.537877  82.418324  80.640344  73.591152   \n",
       "37.0  37.0  81.534484  70.152246  68.067432  74.363361  67.885204  55.447684   \n",
       "41.0  41.0  56.875004  60.198557  51.604052  49.292454  51.569285  46.226218   \n",
       "42.0  42.0  89.865460  77.362574  67.349661  72.642372  69.560253  61.787147   \n",
       "43.0  43.0  77.496301  82.671118  81.726250  77.552858  83.351238  74.753452   \n",
       "45.0  45.0  79.657965  73.634073  65.781968  63.379734  74.073061  63.978769   \n",
       "52.0  52.0  63.552951  60.936975  60.805511  56.894529  58.973739  57.906784   \n",
       "55.0  55.0  81.654646   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "\n",
       "              7          8  \n",
       "t1                          \n",
       "11.0   0.000000   0.000000  \n",
       "21.0  62.195203  61.802710  \n",
       "23.0   0.000000   0.000000  \n",
       "31.0   0.000000   0.000000  \n",
       "32.0  59.136970  62.454819  \n",
       "37.0  62.647286  56.871048  \n",
       "41.0  42.935504  44.982823  \n",
       "42.0  55.541919  60.934674  \n",
       "43.0  72.585605  73.163837  \n",
       "45.0  64.439179  60.694680  \n",
       "52.0  51.900301  55.483968  \n",
       "55.0   0.000000   0.000000  "
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 筛选出 \"wave\" 列值为 \"2011\" 的行\n",
    "df_2011 = df[df['wave'] == 2011]\n",
    "df_2009 = df[df['wave'] == 2009]\n",
    "df_2006 = df[df['wave'] == 2006]\n",
    "df_2004 = df[df['wave'] == 2004]\n",
    "df_2000 = df[df['wave'] == 2000]\n",
    "df_1997 = df[df['wave'] == 1997]\n",
    "df_1993 = df[df['wave'] == 1993]\n",
    "df_1991 = df[df['wave'] == 1991]\n",
    "F_2011 = df_2011.groupby('t1')['脂肪'].mean()\n",
    "df_2011t1 = F_2011.to_frame()\n",
    "index_column = F_2011.index.to_series()\n",
    "df_2011t1 = pd.concat([index_column, df_2011t1],ignore_index=True,axis=1)\n",
    "aadf = df_2011t1\n",
    "# df_2011t1\n",
    "F_2009 = df_2009.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_2009.index.to_series()\n",
    "df_2009t1 = F_2009.to_frame()\n",
    "aadf = pd.concat([aadf, df_2009t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2006 = df_2006.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_2006.index.to_series()\n",
    "df_2006t1 = F_2006.to_frame()\n",
    "aadf = pd.concat([aadf, df_2006t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2004= df_2004.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_2004.index.to_series()\n",
    "df_2004t1 = F_2004.to_frame()\n",
    "aadf = pd.concat([aadf, df_2004t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2000= df_2000.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_2000.index.to_series()\n",
    "df_2000t1 = F_2000.to_frame()\n",
    "aadf = pd.concat([aadf, df_2000t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1997= df_1997.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_1997.index.to_series()\n",
    "df_1997t1 = F_1997.to_frame()\n",
    "aadf = pd.concat([aadf, df_1997t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1993= df_1993.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_1993.index.to_series()\n",
    "df_1993t1 = F_1993.to_frame()\n",
    "aadf = pd.concat([aadf, df_1993t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1991= df_1991.groupby('t1')['脂肪'].mean()\n",
    "index_column = F_1991.index.to_series()\n",
    "df_1991t1 = F_1991.to_frame()\n",
    "aadf = pd.concat([aadf, df_1991t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[0,1:], marker='o', linestyle='--', color='b', label='北京')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[1,1:], marker='o', linestyle='--', color='y', label='辽宁')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[2,1:], marker='o', linestyle='--', color='r', label='黑龙江')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[3,1:], marker='o', linestyle='--', color='g', label='上海')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[4,1:], marker='o', linestyle='--', color='g', label='江苏')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[5,1:], marker='o', linestyle='--', color='black', label='山东')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[6,1:], marker='o', linestyle='--', color='#6B8E23', label='河南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[7,1:], marker='o', linestyle='--', color='#FF9999', label='湖北')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[8,1:], marker='o', linestyle='--', color='#66FFB2', label='湖南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[9,1:], marker='o', linestyle='--', color='#8B4513', label='广西')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[10,1:], marker='o', linestyle='--', color='#708090', label='贵州')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[11,1:], marker='o', linestyle='--', color='b', label='重庆')\n",
    "# 设置标题和标签\n",
    "plt.title('脂肪平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "aadf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "bf1b3d8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>65.405107</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>21.0</td>\n",
       "      <td>61.154782</td>\n",
       "      <td>63.673112</td>\n",
       "      <td>67.737228</td>\n",
       "      <td>59.575605</td>\n",
       "      <td>63.967468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>67.772140</td>\n",
       "      <td>71.917266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>23.0</td>\n",
       "      <td>61.505195</td>\n",
       "      <td>58.596130</td>\n",
       "      <td>56.931562</td>\n",
       "      <td>54.507594</td>\n",
       "      <td>53.899872</td>\n",
       "      <td>58.718893</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>31.0</td>\n",
       "      <td>68.186387</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>74.709528</td>\n",
       "      <td>76.999454</td>\n",
       "      <td>75.323385</td>\n",
       "      <td>76.100588</td>\n",
       "      <td>74.641307</td>\n",
       "      <td>67.680286</td>\n",
       "      <td>68.869165</td>\n",
       "      <td>70.883623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>37.0</td>\n",
       "      <td>65.060046</td>\n",
       "      <td>67.735674</td>\n",
       "      <td>67.779384</td>\n",
       "      <td>65.700086</td>\n",
       "      <td>66.679406</td>\n",
       "      <td>71.263429</td>\n",
       "      <td>77.067498</td>\n",
       "      <td>77.248388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>41.0</td>\n",
       "      <td>54.628710</td>\n",
       "      <td>59.175656</td>\n",
       "      <td>58.604214</td>\n",
       "      <td>59.447907</td>\n",
       "      <td>61.603152</td>\n",
       "      <td>68.120007</td>\n",
       "      <td>71.934132</td>\n",
       "      <td>75.818466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>42.0</td>\n",
       "      <td>68.289364</td>\n",
       "      <td>65.402566</td>\n",
       "      <td>69.835317</td>\n",
       "      <td>68.273314</td>\n",
       "      <td>63.584799</td>\n",
       "      <td>58.870263</td>\n",
       "      <td>65.506831</td>\n",
       "      <td>68.322825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>43.0</td>\n",
       "      <td>62.570852</td>\n",
       "      <td>62.333513</td>\n",
       "      <td>64.502863</td>\n",
       "      <td>72.297826</td>\n",
       "      <td>67.541515</td>\n",
       "      <td>66.437534</td>\n",
       "      <td>73.847310</td>\n",
       "      <td>74.969200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45.0</th>\n",
       "      <td>45.0</td>\n",
       "      <td>59.630375</td>\n",
       "      <td>59.235380</td>\n",
       "      <td>54.994638</td>\n",
       "      <td>60.331088</td>\n",
       "      <td>65.669876</td>\n",
       "      <td>62.668167</td>\n",
       "      <td>64.372229</td>\n",
       "      <td>59.862481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52.0</th>\n",
       "      <td>52.0</td>\n",
       "      <td>54.207742</td>\n",
       "      <td>57.969526</td>\n",
       "      <td>56.142828</td>\n",
       "      <td>60.037375</td>\n",
       "      <td>58.432375</td>\n",
       "      <td>68.397774</td>\n",
       "      <td>67.005364</td>\n",
       "      <td>68.920766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>55.0</td>\n",
       "      <td>48.641421</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0          1          2          3          4          5          6  \\\n",
       "t1                                                                             \n",
       "11.0  11.0  65.405107   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "21.0  21.0  61.154782  63.673112  67.737228  59.575605  63.967468   0.000000   \n",
       "23.0  23.0  61.505195  58.596130  56.931562  54.507594  53.899872  58.718893   \n",
       "31.0  31.0  68.186387   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "32.0  32.0  74.709528  76.999454  75.323385  76.100588  74.641307  67.680286   \n",
       "37.0  37.0  65.060046  67.735674  67.779384  65.700086  66.679406  71.263429   \n",
       "41.0  41.0  54.628710  59.175656  58.604214  59.447907  61.603152  68.120007   \n",
       "42.0  42.0  68.289364  65.402566  69.835317  68.273314  63.584799  58.870263   \n",
       "43.0  43.0  62.570852  62.333513  64.502863  72.297826  67.541515  66.437534   \n",
       "45.0  45.0  59.630375  59.235380  54.994638  60.331088  65.669876  62.668167   \n",
       "52.0  52.0  54.207742  57.969526  56.142828  60.037375  58.432375  68.397774   \n",
       "55.0  55.0  48.641421   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "\n",
       "              7          8  \n",
       "t1                          \n",
       "11.0   0.000000   0.000000  \n",
       "21.0  67.772140  71.917266  \n",
       "23.0   0.000000   0.000000  \n",
       "31.0   0.000000   0.000000  \n",
       "32.0  68.869165  70.883623  \n",
       "37.0  77.067498  77.248388  \n",
       "41.0  71.934132  75.818466  \n",
       "42.0  65.506831  68.322825  \n",
       "43.0  73.847310  74.969200  \n",
       "45.0  64.372229  59.862481  \n",
       "52.0  67.005364  68.920766  \n",
       "55.0   0.000000   0.000000  "
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 筛选出 \"wave\" 列值为 \"2011\" 的行\n",
    "df_2011 = df[df['wave'] == 2011]\n",
    "df_2009 = df[df['wave'] == 2009]\n",
    "df_2006 = df[df['wave'] == 2006]\n",
    "df_2004 = df[df['wave'] == 2004]\n",
    "df_2000 = df[df['wave'] == 2000]\n",
    "df_1997 = df[df['wave'] == 1997]\n",
    "df_1993 = df[df['wave'] == 1993]\n",
    "df_1991 = df[df['wave'] == 1991]\n",
    "F_2011 = df_2011.groupby('t1')['蛋白质'].mean()\n",
    "df_2011t1 = F_2011.to_frame()\n",
    "index_column = F_2011.index.to_series()\n",
    "df_2011t1 = pd.concat([index_column, df_2011t1],ignore_index=True,axis=1)\n",
    "aadf = df_2011t1\n",
    "# df_2011t1\n",
    "F_2009 = df_2009.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_2009.index.to_series()\n",
    "df_2009t1 = F_2009.to_frame()\n",
    "aadf = pd.concat([aadf, df_2009t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2006 = df_2006.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_2006.index.to_series()\n",
    "df_2006t1 = F_2006.to_frame()\n",
    "aadf = pd.concat([aadf, df_2006t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2004= df_2004.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_2004.index.to_series()\n",
    "df_2004t1 = F_2004.to_frame()\n",
    "aadf = pd.concat([aadf, df_2004t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2000= df_2000.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_2000.index.to_series()\n",
    "df_2000t1 = F_2000.to_frame()\n",
    "aadf = pd.concat([aadf, df_2000t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1997= df_1997.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_1997.index.to_series()\n",
    "df_1997t1 = F_1997.to_frame()\n",
    "aadf = pd.concat([aadf, df_1997t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1993= df_1993.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_1993.index.to_series()\n",
    "df_1993t1 = F_1993.to_frame()\n",
    "aadf = pd.concat([aadf, df_1993t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1991= df_1991.groupby('t1')['蛋白质'].mean()\n",
    "index_column = F_1991.index.to_series()\n",
    "df_1991t1 = F_1991.to_frame()\n",
    "aadf = pd.concat([aadf, df_1991t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[0,1:], marker='o', linestyle='--', color='b', label='北京')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[1,1:], marker='o', linestyle='--', color='y', label='辽宁')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[2,1:], marker='o', linestyle='--', color='r', label='黑龙江')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[3,1:], marker='o', linestyle='--', color='g', label='上海')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[4,1:], marker='o', linestyle='--', color='g', label='江苏')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[5,1:], marker='o', linestyle='--', color='black', label='山东')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[6,1:], marker='o', linestyle='--', color='#6B8E23', label='河南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[7,1:], marker='o', linestyle='--', color='#FF9999', label='湖北')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[8,1:], marker='o', linestyle='--', color='#66FFB2', label='湖南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[9,1:], marker='o', linestyle='--', color='#8B4513', label='广西')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[10,1:], marker='o', linestyle='--', color='#708090', label='贵州')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[11,1:], marker='o', linestyle='--', color='b', label='重庆')\n",
    "# 设置标题和标签\n",
    "plt.title('蛋白质平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "aadf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "97698283",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>209.493763</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>21.0</td>\n",
       "      <td>239.196615</td>\n",
       "      <td>269.812080</td>\n",
       "      <td>278.811813</td>\n",
       "      <td>276.351971</td>\n",
       "      <td>299.292201</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>351.401576</td>\n",
       "      <td>403.341713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>23.0</td>\n",
       "      <td>269.393501</td>\n",
       "      <td>289.509049</td>\n",
       "      <td>281.177619</td>\n",
       "      <td>279.046077</td>\n",
       "      <td>290.090785</td>\n",
       "      <td>341.864280</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>31.0</td>\n",
       "      <td>184.149035</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>257.934267</td>\n",
       "      <td>298.761671</td>\n",
       "      <td>302.188843</td>\n",
       "      <td>313.808749</td>\n",
       "      <td>324.606447</td>\n",
       "      <td>306.684528</td>\n",
       "      <td>366.694644</td>\n",
       "      <td>394.440828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>37.0</td>\n",
       "      <td>264.628551</td>\n",
       "      <td>277.098458</td>\n",
       "      <td>296.412481</td>\n",
       "      <td>290.716445</td>\n",
       "      <td>294.476692</td>\n",
       "      <td>325.294045</td>\n",
       "      <td>371.376307</td>\n",
       "      <td>393.488840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>41.0</td>\n",
       "      <td>264.860845</td>\n",
       "      <td>301.047953</td>\n",
       "      <td>305.907288</td>\n",
       "      <td>312.783056</td>\n",
       "      <td>338.175855</td>\n",
       "      <td>378.940934</td>\n",
       "      <td>422.196293</td>\n",
       "      <td>463.074412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>42.0</td>\n",
       "      <td>310.657684</td>\n",
       "      <td>307.818713</td>\n",
       "      <td>355.864299</td>\n",
       "      <td>345.798209</td>\n",
       "      <td>350.694889</td>\n",
       "      <td>329.006308</td>\n",
       "      <td>386.846172</td>\n",
       "      <td>410.440269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>43.0</td>\n",
       "      <td>237.158964</td>\n",
       "      <td>258.183610</td>\n",
       "      <td>268.411559</td>\n",
       "      <td>304.348923</td>\n",
       "      <td>315.677716</td>\n",
       "      <td>325.092144</td>\n",
       "      <td>382.334891</td>\n",
       "      <td>385.381914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45.0</th>\n",
       "      <td>45.0</td>\n",
       "      <td>260.341121</td>\n",
       "      <td>261.745446</td>\n",
       "      <td>275.606070</td>\n",
       "      <td>307.442711</td>\n",
       "      <td>307.805120</td>\n",
       "      <td>310.754098</td>\n",
       "      <td>326.633741</td>\n",
       "      <td>324.174665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52.0</th>\n",
       "      <td>52.0</td>\n",
       "      <td>230.603404</td>\n",
       "      <td>280.654787</td>\n",
       "      <td>314.200909</td>\n",
       "      <td>325.823797</td>\n",
       "      <td>311.696476</td>\n",
       "      <td>379.238147</td>\n",
       "      <td>403.509744</td>\n",
       "      <td>417.100345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>55.0</td>\n",
       "      <td>164.302347</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0           1           2           3           4           5  \\\n",
       "t1                                                                       \n",
       "11.0  11.0  209.493763    0.000000    0.000000    0.000000    0.000000   \n",
       "21.0  21.0  239.196615  269.812080  278.811813  276.351971  299.292201   \n",
       "23.0  23.0  269.393501  289.509049  281.177619  279.046077  290.090785   \n",
       "31.0  31.0  184.149035    0.000000    0.000000    0.000000    0.000000   \n",
       "32.0  32.0  257.934267  298.761671  302.188843  313.808749  324.606447   \n",
       "37.0  37.0  264.628551  277.098458  296.412481  290.716445  294.476692   \n",
       "41.0  41.0  264.860845  301.047953  305.907288  312.783056  338.175855   \n",
       "42.0  42.0  310.657684  307.818713  355.864299  345.798209  350.694889   \n",
       "43.0  43.0  237.158964  258.183610  268.411559  304.348923  315.677716   \n",
       "45.0  45.0  260.341121  261.745446  275.606070  307.442711  307.805120   \n",
       "52.0  52.0  230.603404  280.654787  314.200909  325.823797  311.696476   \n",
       "55.0  55.0  164.302347    0.000000    0.000000    0.000000    0.000000   \n",
       "\n",
       "               6           7           8  \n",
       "t1                                        \n",
       "11.0    0.000000    0.000000    0.000000  \n",
       "21.0    0.000000  351.401576  403.341713  \n",
       "23.0  341.864280    0.000000    0.000000  \n",
       "31.0    0.000000    0.000000    0.000000  \n",
       "32.0  306.684528  366.694644  394.440828  \n",
       "37.0  325.294045  371.376307  393.488840  \n",
       "41.0  378.940934  422.196293  463.074412  \n",
       "42.0  329.006308  386.846172  410.440269  \n",
       "43.0  325.092144  382.334891  385.381914  \n",
       "45.0  310.754098  326.633741  324.174665  \n",
       "52.0  379.238147  403.509744  417.100345  \n",
       "55.0    0.000000    0.000000    0.000000  "
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 筛选出 \"wave\" 列值为 \"2011\" 的行\n",
    "df_2011 = df[df['wave'] == 2011]\n",
    "df_2009 = df[df['wave'] == 2009]\n",
    "df_2006 = df[df['wave'] == 2006]\n",
    "df_2004 = df[df['wave'] == 2004]\n",
    "df_2000 = df[df['wave'] == 2000]\n",
    "df_1997 = df[df['wave'] == 1997]\n",
    "df_1993 = df[df['wave'] == 1993]\n",
    "df_1991 = df[df['wave'] == 1991]\n",
    "F_2011 = df_2011.groupby('t1')['碳水化合物'].mean()\n",
    "df_2011t1 = F_2011.to_frame()\n",
    "index_column = F_2011.index.to_series()\n",
    "df_2011t1 = pd.concat([index_column, df_2011t1],ignore_index=True,axis=1)\n",
    "aadf = df_2011t1\n",
    "# df_2011t1\n",
    "F_2009 = df_2009.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_2009.index.to_series()\n",
    "df_2009t1 = F_2009.to_frame()\n",
    "aadf = pd.concat([aadf, df_2009t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2006 = df_2006.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_2006.index.to_series()\n",
    "df_2006t1 = F_2006.to_frame()\n",
    "aadf = pd.concat([aadf, df_2006t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2004= df_2004.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_2004.index.to_series()\n",
    "df_2004t1 = F_2004.to_frame()\n",
    "aadf = pd.concat([aadf, df_2004t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2000= df_2000.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_2000.index.to_series()\n",
    "df_2000t1 = F_2000.to_frame()\n",
    "aadf = pd.concat([aadf, df_2000t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1997= df_1997.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_1997.index.to_series()\n",
    "df_1997t1 = F_1997.to_frame()\n",
    "aadf = pd.concat([aadf, df_1997t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1993= df_1993.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_1993.index.to_series()\n",
    "df_1993t1 = F_1993.to_frame()\n",
    "aadf = pd.concat([aadf, df_1993t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1991= df_1991.groupby('t1')['碳水化合物'].mean()\n",
    "index_column = F_1991.index.to_series()\n",
    "df_1991t1 = F_1991.to_frame()\n",
    "aadf = pd.concat([aadf, df_1991t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[0,1:], marker='o', linestyle='--', color='b', label='北京')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[1,1:], marker='o', linestyle='--', color='y', label='辽宁')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[2,1:], marker='o', linestyle='--', color='r', label='黑龙江')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[3,1:], marker='o', linestyle='--', color='g', label='上海')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[4,1:], marker='o', linestyle='--', color='g', label='江苏')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[5,1:], marker='o', linestyle='--', color='black', label='山东')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[6,1:], marker='o', linestyle='--', color='#6B8E23', label='河南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[7,1:], marker='o', linestyle='--', color='#FF9999', label='湖北')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[8,1:], marker='o', linestyle='--', color='#66FFB2', label='湖南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[9,1:], marker='o', linestyle='--', color='#8B4513', label='广西')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[10,1:], marker='o', linestyle='--', color='#708090', label='贵州')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[11,1:], marker='o', linestyle='--', color='b', label='重庆')\n",
    "# 设置标题和标签\n",
    "plt.title('碳水化合物平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "aadf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "e30dd486",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1750.041637</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1807.793206</td>\n",
       "      <td>1983.348669</td>\n",
       "      <td>2043.817888</td>\n",
       "      <td>1921.634126</td>\n",
       "      <td>2072.663680</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2246.622977</td>\n",
       "      <td>2465.169425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1954.022741</td>\n",
       "      <td>2019.493579</td>\n",
       "      <td>1987.344332</td>\n",
       "      <td>1911.225149</td>\n",
       "      <td>1952.008480</td>\n",
       "      <td>2152.953100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>31.0</td>\n",
       "      <td>1674.409970</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>2044.101319</td>\n",
       "      <td>2297.284016</td>\n",
       "      <td>2275.629789</td>\n",
       "      <td>2328.419927</td>\n",
       "      <td>2342.849191</td>\n",
       "      <td>2180.595488</td>\n",
       "      <td>2293.001544</td>\n",
       "      <td>2436.902422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>37.0</td>\n",
       "      <td>2085.525278</td>\n",
       "      <td>2034.083517</td>\n",
       "      <td>2115.800937</td>\n",
       "      <td>2120.143144</td>\n",
       "      <td>2075.579787</td>\n",
       "      <td>2097.370390</td>\n",
       "      <td>2366.690521</td>\n",
       "      <td>2402.760714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>41.0</td>\n",
       "      <td>1792.367343</td>\n",
       "      <td>1986.102850</td>\n",
       "      <td>1928.729916</td>\n",
       "      <td>1941.064672</td>\n",
       "      <td>2072.262230</td>\n",
       "      <td>2209.497766</td>\n",
       "      <td>2372.295900</td>\n",
       "      <td>2567.695861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>42.0</td>\n",
       "      <td>2349.192501</td>\n",
       "      <td>2210.043003</td>\n",
       "      <td>2327.264986</td>\n",
       "      <td>2339.160405</td>\n",
       "      <td>2291.671669</td>\n",
       "      <td>2113.034386</td>\n",
       "      <td>2318.168023</td>\n",
       "      <td>2475.343543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>43.0</td>\n",
       "      <td>1908.374145</td>\n",
       "      <td>2037.780637</td>\n",
       "      <td>2091.592715</td>\n",
       "      <td>2222.512652</td>\n",
       "      <td>2292.861864</td>\n",
       "      <td>2245.818808</td>\n",
       "      <td>2480.491254</td>\n",
       "      <td>2513.100916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45.0</th>\n",
       "      <td>45.0</td>\n",
       "      <td>2005.036437</td>\n",
       "      <td>1956.070344</td>\n",
       "      <td>1922.467905</td>\n",
       "      <td>2053.791310</td>\n",
       "      <td>2172.452391</td>\n",
       "      <td>2084.211324</td>\n",
       "      <td>2168.284366</td>\n",
       "      <td>2106.967717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52.0</th>\n",
       "      <td>52.0</td>\n",
       "      <td>1728.353318</td>\n",
       "      <td>1921.389011</td>\n",
       "      <td>2050.271976</td>\n",
       "      <td>2073.242992</td>\n",
       "      <td>2031.439336</td>\n",
       "      <td>2325.802028</td>\n",
       "      <td>2380.024706</td>\n",
       "      <td>2475.879651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>55.0</td>\n",
       "      <td>1595.920656</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0            1            2            3            4            5  \\\n",
       "t1                                                                            \n",
       "11.0  11.0  1750.041637     0.000000     0.000000     0.000000     0.000000   \n",
       "21.0  21.0  1807.793206  1983.348669  2043.817888  1921.634126  2072.663680   \n",
       "23.0  23.0  1954.022741  2019.493579  1987.344332  1911.225149  1952.008480   \n",
       "31.0  31.0  1674.409970     0.000000     0.000000     0.000000     0.000000   \n",
       "32.0  32.0  2044.101319  2297.284016  2275.629789  2328.419927  2342.849191   \n",
       "37.0  37.0  2085.525278  2034.083517  2115.800937  2120.143144  2075.579787   \n",
       "41.0  41.0  1792.367343  1986.102850  1928.729916  1941.064672  2072.262230   \n",
       "42.0  42.0  2349.192501  2210.043003  2327.264986  2339.160405  2291.671669   \n",
       "43.0  43.0  1908.374145  2037.780637  2091.592715  2222.512652  2292.861864   \n",
       "45.0  45.0  2005.036437  1956.070344  1922.467905  2053.791310  2172.452391   \n",
       "52.0  52.0  1728.353318  1921.389011  2050.271976  2073.242992  2031.439336   \n",
       "55.0  55.0  1595.920656     0.000000     0.000000     0.000000     0.000000   \n",
       "\n",
       "                6            7            8  \n",
       "t1                                           \n",
       "11.0     0.000000     0.000000     0.000000  \n",
       "21.0     0.000000  2246.622977  2465.169425  \n",
       "23.0  2152.953100     0.000000     0.000000  \n",
       "31.0     0.000000     0.000000     0.000000  \n",
       "32.0  2180.595488  2293.001544  2436.902422  \n",
       "37.0  2097.370390  2366.690521  2402.760714  \n",
       "41.0  2209.497766  2372.295900  2567.695861  \n",
       "42.0  2113.034386  2318.168023  2475.343543  \n",
       "43.0  2245.818808  2480.491254  2513.100916  \n",
       "45.0  2084.211324  2168.284366  2106.967717  \n",
       "52.0  2325.802028  2380.024706  2475.879651  \n",
       "55.0     0.000000     0.000000     0.000000  "
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 筛选出 \"wave\" 列值为 \"2011\" 的行\n",
    "df_2011 = df[df['wave'] == 2011]\n",
    "df_2009 = df[df['wave'] == 2009]\n",
    "df_2006 = df[df['wave'] == 2006]\n",
    "df_2004 = df[df['wave'] == 2004]\n",
    "df_2000 = df[df['wave'] == 2000]\n",
    "df_1997 = df[df['wave'] == 1997]\n",
    "df_1993 = df[df['wave'] == 1993]\n",
    "df_1991 = df[df['wave'] == 1991]\n",
    "F_2011 = df_2011.groupby('t1')['热量'].mean()\n",
    "df_2011t1 = F_2011.to_frame()\n",
    "index_column = F_2011.index.to_series()\n",
    "df_2011t1 = pd.concat([index_column, df_2011t1],ignore_index=True,axis=1)\n",
    "aadf = df_2011t1\n",
    "# df_2011t1\n",
    "F_2009 = df_2009.groupby('t1')['热量'].mean()\n",
    "index_column = F_2009.index.to_series()\n",
    "df_2009t1 = F_2009.to_frame()\n",
    "aadf = pd.concat([aadf, df_2009t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2006 = df_2006.groupby('t1')['热量'].mean()\n",
    "index_column = F_2006.index.to_series()\n",
    "df_2006t1 = F_2006.to_frame()\n",
    "aadf = pd.concat([aadf, df_2006t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2004= df_2004.groupby('t1')['热量'].mean()\n",
    "index_column = F_2004.index.to_series()\n",
    "df_2004t1 = F_2004.to_frame()\n",
    "aadf = pd.concat([aadf, df_2004t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_2000= df_2000.groupby('t1')['热量'].mean()\n",
    "index_column = F_2000.index.to_series()\n",
    "df_2000t1 = F_2000.to_frame()\n",
    "aadf = pd.concat([aadf, df_2000t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1997= df_1997.groupby('t1')['热量'].mean()\n",
    "index_column = F_1997.index.to_series()\n",
    "df_1997t1 = F_1997.to_frame()\n",
    "aadf = pd.concat([aadf, df_1997t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1993= df_1993.groupby('t1')['热量'].mean()\n",
    "index_column = F_1993.index.to_series()\n",
    "df_1993t1 = F_1993.to_frame()\n",
    "aadf = pd.concat([aadf, df_1993t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "F_1991= df_1991.groupby('t1')['热量'].mean()\n",
    "index_column = F_1991.index.to_series()\n",
    "df_1991t1 = F_1991.to_frame()\n",
    "aadf = pd.concat([aadf, df_1991t1],ignore_index=True,axis=1)\n",
    "aadf = aadf.fillna(0)\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[0,1:], marker='o', linestyle='--', color='b', label='北京')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[1,1:], marker='o', linestyle='--', color='y', label='辽宁')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[2,1:], marker='o', linestyle='--', color='r', label='黑龙江')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[3,1:], marker='o', linestyle='--', color='g', label='上海')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[4,1:], marker='o', linestyle='--', color='g', label='江苏')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[5,1:], marker='o', linestyle='--', color='black', label='山东')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[6,1:], marker='o', linestyle='--', color='#6B8E23', label='河南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[7,1:], marker='o', linestyle='--', color='#FF9999', label='湖北')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[8,1:], marker='o', linestyle='--', color='#66FFB2', label='湖南')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[9,1:], marker='o', linestyle='--', color='#8B4513', label='广西')\n",
    "plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[10,1:], marker='o', linestyle='--', color='#708090', label='贵州')\n",
    "# plt.plot(newdf3.iloc[:, 0][::-1], aadf.iloc[11,1:], marker='o', linestyle='--', color='b', label='重庆')\n",
    "# 设置标题和标签\n",
    "plt.title('平均三天食物热量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "aadf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "3b3e9b66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>wave</th>\n",
       "      <th>热量</th>\n",
       "      <th>碳水化合物</th>\n",
       "      <th>脂肪</th>\n",
       "      <th>蛋白质</th>\n",
       "      <th>t1</th>\n",
       "      <th>t2</th>\n",
       "      <th>t3</th>\n",
       "      <th>t4</th>\n",
       "      <th>t5</th>\n",
       "      <th>commid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2274.209022</td>\n",
       "      <td>270.188350</td>\n",
       "      <td>94.840979</td>\n",
       "      <td>84.014570</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1097.008045</td>\n",
       "      <td>145.637645</td>\n",
       "      <td>35.642671</td>\n",
       "      <td>48.046437</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1447.790423</td>\n",
       "      <td>169.892992</td>\n",
       "      <td>46.720233</td>\n",
       "      <td>86.280497</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1340.616965</td>\n",
       "      <td>161.743972</td>\n",
       "      <td>55.174306</td>\n",
       "      <td>48.553338</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2112.502534</td>\n",
       "      <td>215.692990</td>\n",
       "      <td>105.445924</td>\n",
       "      <td>74.824811</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>111101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101941</th>\n",
       "      <td>101941</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1346.570287</td>\n",
       "      <td>205.112572</td>\n",
       "      <td>43.213859</td>\n",
       "      <td>33.807827</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>551304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101942</th>\n",
       "      <td>101942</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2713.868490</td>\n",
       "      <td>287.462452</td>\n",
       "      <td>153.606219</td>\n",
       "      <td>44.734891</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>551304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101943</th>\n",
       "      <td>101943</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1400.505225</td>\n",
       "      <td>147.425686</td>\n",
       "      <td>64.913080</td>\n",
       "      <td>55.883056</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>551304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101944</th>\n",
       "      <td>101944</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1163.386784</td>\n",
       "      <td>106.508413</td>\n",
       "      <td>63.349781</td>\n",
       "      <td>41.985935</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>551304.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101945</th>\n",
       "      <td>101945</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1059.826034</td>\n",
       "      <td>118.764832</td>\n",
       "      <td>50.526902</td>\n",
       "      <td>36.121839</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>551304.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>34119 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id    wave           热量       碳水化合物          脂肪        蛋白质    t1  \\\n",
       "0            0  2011.0  2274.209022  270.188350   94.840979  84.014570  11.0   \n",
       "1            1  2011.0  1097.008045  145.637645   35.642671  48.046437  11.0   \n",
       "2            2  2011.0  1447.790423  169.892992   46.720233  86.280497  11.0   \n",
       "3            3  2011.0  1340.616965  161.743972   55.174306  48.553338  11.0   \n",
       "4            4  2011.0  2112.502534  215.692990  105.445924  74.824811  11.0   \n",
       "...        ...     ...          ...         ...         ...        ...   ...   \n",
       "101941  101941  2011.0  1346.570287  205.112572   43.213859  33.807827  55.0   \n",
       "101942  101942  2011.0  2713.868490  287.462452  153.606219  44.734891  55.0   \n",
       "101943  101943  2011.0  1400.505225  147.425686   64.913080  55.883056  55.0   \n",
       "101944  101944  2011.0  1163.386784  106.508413   63.349781  41.985935  55.0   \n",
       "101945  101945  2011.0  1059.826034  118.764832   50.526902  36.121839  55.0   \n",
       "\n",
       "         t2   t3   t4    t5    commid  \n",
       "0       1.0  1.0  1.0   1.0  111101.0  \n",
       "1       1.0  1.0  1.0   1.0  111101.0  \n",
       "2       1.0  1.0  1.0   2.0  111101.0  \n",
       "3       1.0  1.0  1.0   3.0  111101.0  \n",
       "4       1.0  1.0  1.0   4.0  111101.0  \n",
       "...     ...  ...  ...   ...       ...  \n",
       "101941  1.0  3.0  4.0  19.0  551304.0  \n",
       "101942  1.0  3.0  4.0  19.0  551304.0  \n",
       "101943  1.0  3.0  4.0  20.0  551304.0  \n",
       "101944  1.0  3.0  4.0  20.0  551304.0  \n",
       "101945  1.0  3.0  4.0  20.0  551304.0  \n",
       "\n",
       "[34119 rows x 12 columns]"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df[df['t2'] == 1]\n",
    "df2 = df[df['t2'] == 2]\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "67884642",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wave</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1991.0</th>\n",
       "      <td>1991.0</td>\n",
       "      <td>67.791032</td>\n",
       "      <td>69.678760</td>\n",
       "      <td>349.347167</td>\n",
       "      <td>2425.119552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993.0</th>\n",
       "      <td>1993.0</td>\n",
       "      <td>68.186449</td>\n",
       "      <td>68.991535</td>\n",
       "      <td>323.632679</td>\n",
       "      <td>2327.940400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997.0</th>\n",
       "      <td>1997.0</td>\n",
       "      <td>75.882580</td>\n",
       "      <td>69.965068</td>\n",
       "      <td>306.493624</td>\n",
       "      <td>2176.877281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000.0</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>78.619928</td>\n",
       "      <td>67.678703</td>\n",
       "      <td>281.486095</td>\n",
       "      <td>2145.120018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004.0</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>74.455149</td>\n",
       "      <td>67.818632</td>\n",
       "      <td>282.111495</td>\n",
       "      <td>2097.624135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006.0</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>75.783100</td>\n",
       "      <td>65.544183</td>\n",
       "      <td>266.674509</td>\n",
       "      <td>2077.247727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009.0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>76.394982</td>\n",
       "      <td>65.560438</td>\n",
       "      <td>250.785852</td>\n",
       "      <td>2046.369174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011.0</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>76.124370</td>\n",
       "      <td>64.138531</td>\n",
       "      <td>208.669534</td>\n",
       "      <td>1882.855691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             0          1          2           3            4\n",
       "wave                                                         \n",
       "1991.0  1991.0  67.791032  69.678760  349.347167  2425.119552\n",
       "1993.0  1993.0  68.186449  68.991535  323.632679  2327.940400\n",
       "1997.0  1997.0  75.882580  69.965068  306.493624  2176.877281\n",
       "2000.0  2000.0  78.619928  67.678703  281.486095  2145.120018\n",
       "2004.0  2004.0  74.455149  67.818632  282.111495  2097.624135\n",
       "2006.0  2006.0  75.783100  65.544183  266.674509  2077.247727\n",
       "2009.0  2009.0  76.394982  65.560438  250.785852  2046.369174\n",
       "2011.0  2011.0  76.124370  64.138531  208.669534  1882.855691"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "average_dsfat_by_year = df1.groupby('wave')['脂肪'].mean()\n",
    "\n",
    "average_dspro_by_year = df1.groupby('wave')['蛋白质'].mean()\n",
    "average_dscarb_by_year = df1.groupby('wave')['碳水化合物'].mean()\n",
    "# 获取 Series 的索引列\n",
    "index_column = average_dsfat_by_year.index.to_series()\n",
    "\n",
    "# 将 Series 转换为 DataFrame，并指定列名\n",
    "indexdf = index_column.to_frame(name='wave')\n",
    "\n",
    "\n",
    "newdf = average_dsfat_by_year.to_frame()\n",
    "newdf1 = average_dspro_by_year.to_frame()\n",
    "newdf = pd.concat([indexdf, newdf],ignore_index=True,axis=1)\n",
    "newdf.columns.values[0] = '1'\n",
    "newdf.columns.values[1] = '2'\n",
    "newdf.columns\n",
    "# newdf = average_dsfat_by_year.to_frame()\n",
    "# newdf = newdf.rename(columns={0: 'wave'})\n",
    "# newdf.columns\n",
    "\n",
    "# 绘制折线图\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(newdf.iloc[:, 0], newdf.iloc[:, 1], marker='o', linestyle='-', color='b', label='脂肪')\n",
    "\n",
    "\n",
    "newdf1 = pd.concat([newdf, newdf1],ignore_index=True,axis=1)\n",
    "\n",
    "newdf2 = average_dscarb_by_year.to_frame()\n",
    "newdf2 = pd.concat([newdf1, newdf2],ignore_index=True,axis=1)\n",
    "\n",
    "average_dscarb_by_year = df.groupby('wave')['热量'].mean()\n",
    "newdf3 = average_dscarb_by_year.to_frame()\n",
    "newdf3 = pd.concat([newdf2, newdf3],ignore_index=True,axis=1)\n",
    "newdf3\n",
    "\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 2], marker='o', linestyle='-', label='蛋白质',color = 'red')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 3]/5, marker='o', linestyle='-',label='碳水',color = 'yellow')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 4]/37, marker='o', linestyle='-', label='热量',color = 'black')\n",
    "# 设置标题和标签\n",
    "plt.title('乡村人口平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "newdf3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "1f748984",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wave</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1991.0</th>\n",
       "      <td>1991.0</td>\n",
       "      <td>55.606466</td>\n",
       "      <td>71.153784</td>\n",
       "      <td>419.753915</td>\n",
       "      <td>2425.119552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993.0</th>\n",
       "      <td>1993.0</td>\n",
       "      <td>54.770379</td>\n",
       "      <td>69.538326</td>\n",
       "      <td>398.933121</td>\n",
       "      <td>2327.940400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997.0</th>\n",
       "      <td>1997.0</td>\n",
       "      <td>54.546586</td>\n",
       "      <td>62.925706</td>\n",
       "      <td>352.748114</td>\n",
       "      <td>2176.877281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000.0</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>63.431544</td>\n",
       "      <td>62.224123</td>\n",
       "      <td>331.109845</td>\n",
       "      <td>2145.120018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004.0</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>61.983453</td>\n",
       "      <td>61.791077</td>\n",
       "      <td>319.310028</td>\n",
       "      <td>2097.624135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006.0</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>64.321892</td>\n",
       "      <td>62.055288</td>\n",
       "      <td>312.564881</td>\n",
       "      <td>2077.247727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009.0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>69.700077</td>\n",
       "      <td>62.257729</td>\n",
       "      <td>297.563395</td>\n",
       "      <td>2046.369174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011.0</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>71.946814</td>\n",
       "      <td>60.476415</td>\n",
       "      <td>259.392996</td>\n",
       "      <td>1882.855691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             0          1          2           3            4\n",
       "wave                                                         \n",
       "1991.0  1991.0  55.606466  71.153784  419.753915  2425.119552\n",
       "1993.0  1993.0  54.770379  69.538326  398.933121  2327.940400\n",
       "1997.0  1997.0  54.546586  62.925706  352.748114  2176.877281\n",
       "2000.0  2000.0  63.431544  62.224123  331.109845  2145.120018\n",
       "2004.0  2004.0  61.983453  61.791077  319.310028  2097.624135\n",
       "2006.0  2006.0  64.321892  62.055288  312.564881  2077.247727\n",
       "2009.0  2009.0  69.700077  62.257729  297.563395  2046.369174\n",
       "2011.0  2011.0  71.946814  60.476415  259.392996  1882.855691"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "average_dsfat_by_year = df2.groupby('wave')['脂肪'].mean()\n",
    "\n",
    "average_dspro_by_year = df2.groupby('wave')['蛋白质'].mean()\n",
    "average_dscarb_by_year = df2.groupby('wave')['碳水化合物'].mean()\n",
    "# 获取 Series 的索引列\n",
    "index_column = average_dsfat_by_year.index.to_series()\n",
    "\n",
    "# 将 Series 转换为 DataFrame，并指定列名\n",
    "indexdf = index_column.to_frame(name='wave')\n",
    "\n",
    "\n",
    "newdf = average_dsfat_by_year.to_frame()\n",
    "newdf1 = average_dspro_by_year.to_frame()\n",
    "newdf = pd.concat([indexdf, newdf],ignore_index=True,axis=1)\n",
    "newdf.columns.values[0] = '1'\n",
    "newdf.columns.values[1] = '2'\n",
    "newdf.columns\n",
    "# newdf = average_dsfat_by_year.to_frame()\n",
    "# newdf = newdf.rename(columns={0: 'wave'})\n",
    "# newdf.columns\n",
    "\n",
    "# 绘制折线图\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(newdf.iloc[:, 0], newdf.iloc[:, 1], marker='o', linestyle='-', color='b', label='脂肪')\n",
    "\n",
    "\n",
    "newdf1 = pd.concat([newdf, newdf1],ignore_index=True,axis=1)\n",
    "\n",
    "newdf2 = average_dscarb_by_year.to_frame()\n",
    "newdf2 = pd.concat([newdf1, newdf2],ignore_index=True,axis=1)\n",
    "\n",
    "average_dscarb_by_year = df.groupby('wave')['热量'].mean()\n",
    "newdf3 = average_dscarb_by_year.to_frame()\n",
    "newdf3 = pd.concat([newdf2, newdf3],ignore_index=True,axis=1)\n",
    "newdf3\n",
    "\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 2], marker='o', linestyle='-', label='蛋白质',color = 'red')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 3]/5, marker='o', linestyle='-',label='碳水',color = 'yellow')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 4]/37, marker='o', linestyle='-', label='热量',color = 'black')\n",
    "# 设置标题和标签\n",
    "plt.title('城市人口平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "newdf3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "6e7b049d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QDxRACjA0A3oAJz05IKWUUkoppbIFDYh8Qi9kTdFzyJ/sJ6AK8D4Q68FxKaWUUkop5ds0IPIZBYEpwFakAl0M0rOomycHpZRSSimllE/TgMjn1ALWAN8DJYAhnhyMUkoppZRSPk0DIp9kQtLoDgMt7fZ/AowAojwxKKWUUkoppXyOBkQ+Ldju+wvAKOAjoDLwLZDoiUEppZRSSinlMzQgyjYKIsUW7gTOAn2QtUbbPDkopZRSSimlvJoGRNlKO2A3MBbIDawH6gLPAuc9OC6llFJKKaW8kwZE2U4QMBIp0/0YYABfogGRUkoppZRSqWlAlG2VAL4DIoAJSN8iq4OeGJBSSimllFJeRwOibK8RMNDu8nYkOHoEOOGRESmllFJKKeUtNCDKcdYmff0FCYzeBWI9NxyllFJKKaU8SAOiHOd5pPJcY+A6Uqq7KjAfWW+klFJKKaVUzqEBUY5UE1gN/ACUBI4CXZAiDEoppZRSSuUcGhDlWCagB7APeBUIRNYbKaWUUkoplXNoQJTj5QHeB/5B+hVZ/QZ8DSR6YlBKKaWUUkplCQ2IVJLygDnp++vAAKAfcD+wxUNjUkoppZRSyr00IFJpMCOzRbmBDUB94GngnCcHpZRSSimllMtpQKTSEAiMBA4AjyPV577A378a5csvAhI8OTillFJKKaVcRgMilYESwLdI76JamExXqF79C0ymCA+PSymllFJKKdfQgEg5QdYRWSyTOXHiAQyjud112tRVKaWUUkr5Lg2IlJPMJCY+zfbtL9jt+xcoB7yLBkZKKaWUUsoXaUCkbsNXwFlgFFAVmI+sN1JKKaWUUso3aECkbsNI4EegFHAU6AK0QZq9KqWUUkop5f08EhB9++233HHHHeTJk4eWLVty7NgxAHbv3k29evUICwtjxIgRGIbONng3E/AoEgC9hlSn+x2oDryMzhYppZRSSilvl+UB0eHDh3nttdeYP38+e/fupUyZMvTr148bN27QsWNH6tSpw5YtW9i7dy+zZs3K6uGpW5IbeA/YC3REynLHIgGTPQuwCvgh6asly0aolFJKKaVUWvyz+gdu376dBg0acM899wDwxBNP8Mgjj7B06VKuXLnC+PHjCQkJYfTo0QwcOJAnnngizfu5ceMGN27cSL4cFRUFQHx8PPHx8e7/RXIg6+Oa/uN7BzAXk2kZhnEvYD3uH/z8FuPnNxmT6XTy0YZREotlPIbRxZ3D9hmZP77qdujj6176+LqXPr7upY+ve+nj6176+KbtZh4Pk5HFeWl79+6lSZMmLF++nPLly9O/f38CAwMpX748GzduZMmSJQAYhkHBggW5ePFimvfz1ltv8fbbb6faP3v2bEJCQtz6O6ibYdCs2QuEhp4EwGQ3aWR95m3ePJLIyPs8MDallFJKKZUdxcTE0KtXL65cuUJoaGiGx2Z5QATQv39/pk2bBkC5cuXYuHEjY8eOJTY2lsmTJycfV7hwYQ4cOEBYWFiq+0hrhqh06dJERkZSsGBB9/8SOVB8fDzLly+nVatWBAQEOHmrq/j7l8JkiknzWsMwASVJSDgImF01VJ90a4+vcpY+vu6lj6976ePrXvr4upc+vu6lj2/aoqKiKFSokFMBUZanzG3YsIGFCxeyceNGqlatypgxY2jXrh0PPPAAQUFBDscGBwcTExOTZkAUFBSU6niAgIAAfTK42c09xn8DaQdDACaTAZwiIGAD0Oz2B5cN6HPYvfTxdS99fN1LH1/30sfXvfTxdS99fB3dzGOR5UUVfvrpJ3r06EH9+vXJkycP7733HkeOHKFAgQL8999/DsdGR0cTGBiY1UNULhXp4uOUUkoppZRynSyfIUpISODSpUvJl6Ojo7l27Rr+/v5s2LAhef+xY8e4ceMGBQoUyOohKpcq7uLjlFJKKaWUcp0snyG6//77CQ8P55NPPmH27Nl07tyZokWL8sILL3DlyhW++eYbAMaOHUvLli0xm3P2uhLf1xhp3JqyBLeVCSgN3At8BFzPonEppZRSSinlgRmiRx99lP379zNhwgQiIyO5++67CQ8PJyAggOnTp9OrVy9GjBiBxWJh9erVWT085XJmYCLQDQl+7Gt4WIOkCcA44E1gOjATCaSUUkoppZRyryyfITKZTLz55pscP36cuLg4tm3bRp06dQDo3LkzBw8eZPr06fzzzz9Uq1Ytq4en3KIrMAcomWJ/qaT9XYF7gBLAQaAJMAiIzsIxKqWUUkqpnCjLZ4gyU7JkSUqWTPnBWfm+rkAnIAIpoFAcmQWypkR2APYAI4AvgMnAQmTGqHVWD1YppZRSSuUQWT5DpHIyM1Jau2fS15Trw/IDM4DlQFngBNAG+DiLxqeUuhUWC6xebWLNmpKsXm3CYvH0iJRSSinnaUCkvFBLYBcwGMiNzCwppbxReDiULQutWvkzfnxdWrXyp2xZ2a+UUkr5Ag2IlJfKgxRbOALcabd/FvCvB8ajlEopPBy6dYNTpxz3nz4t+zUoUkop5Qs0IFJerojd92uBJ4CqwLc4VqxTSmUliwUGDwYjjX9D674hQ9D0OaWUUl5PAyLlQ0KBWsBFoA/QHjjpyQEplWNFRKSeGbJnGHDypBynlFJKeTMNiJQPqQFsAt4HAoGlQDXgcyDRg+NSKmeIiYE//oBXX4WnnnLuNmvXQqL+eyqllPJiXld2W6mMBQCvAl2AJ4H1wHNIZbq5HhyXUtlPXBxs3AgrV8KKFbB+vey7GW+8AZMmQdu20L49PPgghIa6Z7xKKaXUrdCASPmou5CeRpOQAOkhzw5HqWzAYoFt2yT4WbFCZndiYhyPKV0aHngAmjWTmaKzZ9NeRwSQKxeYzfDvvzBrlmwBAdC4sQRHHTpApUpu/qWUUkqpTGhApHyYGSnN3Q0oYbd/FVAIuNsDY1LKdyQmwp49tgBo9Wq4csXxmMKFJQCybhUqgMkk14WGSjU5k8kxKLJe/913EvSsXQuLF8OiRXDggO3nDR8Od94pwVH79tCkCQQFZc3vrpRSSllpQKSygZJ2318GegHngdeBl5H1Rkopw4BDh2wBycqV8N9/jsfkzy+zP82bSwBUrZotwEmpa1eYM0eqzdkXWChVCiZMkOvBFkx9/LH8fGtwtHq1XJ44UbY8eaBVKwmO2rWD4sXd8CAopZRSKWhApLKZOKAusBB4E5gDfJm0T6mc5+RJWwC0YkXqynAhITIzYw1aatWSNDdnde0KnTrBypUJLF26g7Zta9G8uX+693HnnRJADR4M0dFSpGHxYtnOnoV582QDqFPHNntUty74aRkgpZRSbqABkcpmigALgJ+A54FdwL3Ai8BbQC6PjUyprHDunK0IwooVMgNjLzAQGja0BUD16sm+22E2Q9OmBteunaZp05pOB1R580KXLrIlJsL27bbZo82bYetW2d55B4oUkVkjLcyglFLK1TQgUtmQCegBtEDWGP0AfAjMAzYD+Tw3NKVc7PJlST2zBkC7dztebzZL0GMNgBo2lGIH3sbPT2aE6tSBUaOkEMPSpRIgLVsmgZ61MIO/v8xqWWePKlVKP61PKaWUyowGRCobKwzMBnoC/YH6aDCkfN21a1KkwBoAbduWus9PrVq2AKhxY9+cTSlaFPr1ky0uzlaYYfFi2L9fCzMopZRyHQ2IVA7QEWgM2NcGPoOk07X2yIiUclZsLGzYYCuCsGEDJCQ4HlOlii0AatoUChXyzFjdJTAw7cIMixfDqlVamEEppdTt0YBI5RD57b43gAHIWqO+wHiggAfGpFRqCQmwZYttBuSvvyQoslemDLRoIQFC8+ZQokTa95Vd3UxhhnvukdLfWphBKaVUejQgUjmQBSiHrDX6GvgNmAJ09eSgVA6VmAg7d9oCoDVr5EO+vWLFHHsBlSvnmbF6o/QKMyxeLIUZtm2TTQszKKWUSo8GRCoH8gc+AboDTwL7gIeRBq+TgKKeG5rK9gzDcQ3MypVw8aLjMQUK2PoAPfAAVK6sRQOckVFhht9/T12YoXFj2+yRFmZQSqmcSwMilYM1BLYD7wIfID2LVgBLkQIMSrnGsWOOvYAiIx2vz5NH1v5YA6AaNTS1yxUyK8ywcqVsw4dDhQoSGHXooIUZlFIqp9GASOVwwcD7yOzQ/4ArQDWPjkj5vshIx15AR486Xh8cDPffbwuA6tSBgADPjDWnyKgww+rVcPgwfPqpbLlzS2GGDh20MINSSuUEGhApBUBtYBNwAsidtC8R6V3UBdDT9Sp9Fy449gL65x/H6/394d57bR/IGzSQoEh5TnqFGZYskYB2/nzZQAozWGePtDCDUkplPxoQKZUsAKhgd3kqMAhoCnwB3OmJQSkvFBUFERG2AOjvv2VtkJXJJB+irQFQo0aSFqe8U8rCDDt2wKJFqQszvPuuFGZo21aCo1atIJ+2NlNKKZ+nAZFS6QoAQoDVQA1krdEQwOzBMSlPuH4d1q2zBUCbN4PF4nhMtWqOvYDCwjwzVnV7/PwkmL3nnvQLM3z9tWzWwgzW2SMtzKBUzmCxyEmxyEhJqW3cGMz60cCnaUCkVLqeAVomff0TeBH4GfgSXWeUvcXFSdBjDYDWrZN99ipUsAVAzZpJaWyV/aQszPDXX7bZI/vCDC++aCvM0L69BMVamEGp7Cc8XFJtT52y7StVShpDd9XuHT5LAyKlMlQeWA7MBIYj64xqA58jRRhUdmCxSJqUNQCKiIBr1xyPKVnSFgA1by7NUVXOEhgof/vmzZ0vzNC+vRRmyGnNc5XKjsLDoVs3xxRpgNOnZf+cORoU+SoNiJTKlAl4CmgLDAAWA7U8OSB1mwwD9u61BUCrVsHly47HFCrk2AuoYkVNh1KO7AszXL0qhRkWLcq4MEP79lCvnhZmUMrXWCzyv54yGALZZzLBkCHQqVPOTZ/z5VRCDYiUclpJYD6wC1lTZPUHcD+QywNjUs4wDDl7//vvZZg928yqVbIWxF5oqKS+WQOgatX0Q6tyXp480LmzbM4WZmjfHh58UAszKOUNLBYpmHPliu2rdYuKgu3bHdPkUjIMOHkSnnwSqlaFkBDbliuX4+WU+4KDff/9xtdTCTUgUuqmmHAMhnYD7YBySCW6xp4YVLZ1O2ebTp2S2R9rP6ATJwKwn9nLlUvuzxoA1a4ti+SVul0pCzOcOyeFGRYtyrgwQ/v2ULmyzkQqdbNu3EgdwNzs5atXXTOWr7++tdsFB2ccNGUUWAUFmdi/vyTx8Sby5k3/fnLlcs+MTXZIJdS3f6VuywWgMHAAaAIMBMYAeT05qGzhZs82/fefYzPUgwcdrw8IMKhU6QJdu4bRqpWZ+vV10bvKGkWKQN++ssXHw9q1MnO0aJEWZlCOfDnl6FYYhgQitxLA2F9OWfTmdgQHy6xtaKh8tW7XrsGyZZnf/qGHpMpoTIxs16/bvk95+cYN2+1iY2W7ePFWRu0P1OWTTzI/Migo8xkrZ2a1bMEYDBjg+6mEGhApdVuaAnuAEcgM0WRgITADeNCD4/JtzpxteuABWLPGFgDt2uV4rJ+fNNG0zgDVr5/AqlV/0a5dOwICvPhVWWVrAQG2wgwffSSpnNbgKKPCDK1aeXrkyt18LeUoISHjFDP7y5cvmzl06F7GjTMTFeV4u8RE140pb15bAJMyoHH2cmBg2vdtsUDZsvI+lNaHf5NJ/l7h4c5/8LdYJEDKKGhyZt/Vq4mcPHmB3LkLcv26X6pjrl+3/cwbN2RLuW7WXayphBERkpburTQgUuq25UcCoB7A08BRoDVSgGGy54blozJbuArQs6ecaU95TI0atgCoSRPHtRnx8e4bs1K3qkIFeOEF2ayFGayV6xwLMwRQvnxTNm3y46GHtDBDdpPVKUexsbefYpayEmfG/ID0exOYzY7Bya0ENHnyuHcGwmyW4LRbNwl+UjbjBpgw4ebGYDbLuG+3cXd8vIUlS9YlnfBL/cKQmCh/81sJtjI75r//4MKFzMcYGXl7v6O7aUCklMu0QAouvAZ8ipTsVjcrIiLjhatgS4+oVMmxF1Dhwm4fnlJuk1ZhBuvs0ebNBkeO5Gf0aBg9Wp7r7dppYYbs4Gaql5lMEojcbjDjyhSzXLkyD1jy5LFw7NhOGjWqTsGC/qmuz5XLN9bOde0qwWlaM3kTJnjnTB7IyRNrmpurrVolM96ZKV7c9T/blTQgUsqlcgMTgD5ATbv9u4AiQFEPjMm3OHsW6bPPYNAg945FKU+xL8zwxhtw+nQCH364i1OnavHHH378958WZsguMjsJZE05ypdPzsqnFTjdCpPp9lPMQkPTTzGzFx+fyJIlJ2jX7m4CAlwzfk/p2lWC05y01isjjRtLQJhZKmFjL685pQGRUm5xj93314FuwHkkWHocqVan0nL6tHPH3X23e8ehlDcpUgQeeOAk7dpVB/wyLMxQvjx06KCFGbxVTAzs3i0zgDt2SJqkM+xT1Pz9XZNipmmXt8Zs9u71MFnJHamEnqABkVJudw4IAS4iM0c/ANOA0p4clNfZvh1GjoTlyzM+zlfONinlLpkVZjhyxLEwQ8uWEiC1awclSnh69DnLv//C33/bgp8dOySAvZVCAl9/bUuPDA7WWUDlPXw1ldCeBkRKuV0ZYBMwDngbWApUAz4EnkEWm+Zcx47B66/D99/L5YAAaN1aPuCB755tUiqrZFaYYcEC2UD6bVlnj7Qwg+tYLBKY2gc+O3aknwJcpIj8LWrVkmIww4dL8JRRytFjj+nrnvJevp5KqAGRUlkiAHgV6AI8CawHngN+BH4FQj03NA+5cAHefx8mT7Yt8O3ZE957T1J+0itB6ytnm5TyBPvCDIYhM6/W4GjTJrm8fTu8+64UZmjbVgIkLczgvJQpbzt2wM6daVddM5mk+EutWo5bsRQF14KDfT/lSClfTiXUgEipLHUXEAFMQgKkXOS0Jq7Xr0sqz5gxUvEIoEUL+OADqFPHdpyvn21SytNMJsfCDOfOwdKlEhwtWyblcr/5RjZ/f2jUSGaOOnTQwgxWN5PyliuXzPbYBz7Vq0vaYmayQ8qRUr5MAyKlspwZGAw8hMwcWT91XCZv3hMeG5W7WSzywWvUKNsbfs2aEgg9+GDaH758+WyTUt6mSBHo21e2+HiSCzMsXgz79kn53FWrYMQImaW1Vq1r2lRmMLIziwVOn87Dzz+b2L3bFgQ5k/Jm3SpWvL0TNnoSSCnP0YBIKY8p53DJbB5Js2bfYhjnkV5GTtQy9QGGAUuWSMGEPXtk3x13SGrcY4/pGgalPCG9wgyLF0tQdOSIlLb/7DNbYQZrgOTrhRliYmDXrpQpb/7ExLRIdayzKW+uoieBlPIMDYiU8grxwH/4+SUA7wDzgZlAXU8O6rZt2gQvvSSVrwDCwuC112DgwOx/xlkpX3KzhRmswVG9et49g+F8ypuJwMAEatXyo3Ztv5tOeVNK+TYNiJTyCgFYLHPZtu0V6tT5BpNpJ3Av8CLwFrLWyHccOgSvvgq//CKXg4IkN/7llyUoUkp5L2cLM7z3nq0wQ/v2Uh3SU4UZLBZ53bEGPTeb8latWjwHDy6hY8d2BATotLVSOY0GREp5DROnTzehZs3hBAQMRyrQfQjMA8IB7+9Eeu4cvPMOTJsGCQmSbtKnj+y74w5Pj04pdbNutTBD+/ZQpUr6hRkslltfK5N2ypvsT2v8zqS8xcdLmqBSKmfSgEgpr1MYad7aE+gPXAaKe3JAmbp2DcaPhw8/lHQbkLPGY8dK1SWlVPbgisIM6ZXUnzgxdTW1rKryppTK2TQgUsprPQQ0AfYDBZP2GcA2oE56N8pSCQkwcya89RacPSv76taVwKh5c48OTSnlZjdTmCEkBFq1ktmgadNSNyA9fVr68AwdCoGBnqnyppTKuTQgUsqr5UfWEln9DPQA+gLjgQIeGJN8mJk/H155Rc7WgpwNHj0aunfXynFK5UTOFGZIjzVAGj/ecX9WV3lTSuVMGhAp5VP2IX2LvgaWAZOBrO3Y99dfUjlu3Tq5XKiQ9BZ69lk5s6uUUmkVZpg0Cb76KvPbduwI7dppyptSKuvoeVylfMqbwFqgCnAWeBjoDvzr9p/8zz/y4aZRIwmGcuWC11+XNJnnn9dgSCmVNmthhlatnDu+Z0/o3x8aNNBgSCmVNTQgUsrnNAS2A68CZmAOUBXpXeR6Z87AM8/A3XdLyoufHzz9tJS4ffddCA11y49VSmUzxZ2sDePscUop5SoaECnlk4KB94HNQC3gIpDXpT8hKkrK7FasCDNmSFWnTp1g926YPt33u9UrpbJW48ZSTS69UtwmE5QuLccppVRW0oBIKZ9WG9gELAJa2O3fA6RRl9YJcXFSFapCBWm8GBMD990nPUPmz4e77rrtQSulciCzWUprQ+qgyHp5wgStFKeUynoaECnl8wKA9naXjyGV6R4ADjl9L4YBP/0EVatKlajz56W6U3i4FFJo1Milg1ZK5UBdu8KcOVCypOP+UqVkf8o+REoplRW0ypxS2c7fSL+i1UAN4F1gCLLeKG0rV0rluC1b5HLRotJb6MknpdeIUkq5Steukn4bESHluIsXlzQ5nRlSSnmKBkRKZTudgF3AM8CfwItI/6KZwN0OR+7aBSNHwtKlcjlPHukwP2yYfK+UUu5gNkOzZp4ehVJKCU2ZUypbKg8sB2YAocg6o3uQQgxw8iT06wc1a0ow5O8PAwdK5bhRozQYUkoppVTOoQGRUtmWCXgK2At0BOK5fv0qI0dK5bivv5Z1Q927w9690jSxaFHPjlgppZRSKqtpypxS2V5JYmMXsGzZfPr3b8vZs7K3W7eTvPRSIerVy+XZ4SmllFJKeZDOECmVjSUmwrffQuXKJjp37sLZs8FUqwaLFyfw889dqVevJhDh6WEqpZRSSnmMBkRKZVO//w733AN9+sCJE1LmduZM+PtvaNfuKCbTGeAg0AQYBER7dsBKKaWUUh6gAZFS2cy2bdCqFbRuLcFPaCiMGQMHDsD//mctbVsRad76VNKtJiMV6JZ5aNRKKaWUUp6hAZFS2cTRo/DYY1CnDvzxBwQGwtChcOQIvPwyhISkvEV+pArdH0A54ATQBugHXMvCkSullFJKeY4GREr5uPPnJfCpXBlmz5Z9vXrBvn0wfjwULJjZPbRA+hYNRirT7QOC3ThipZRSSinvoVXmlPJRMTEwcSKMHQtRUbKvZUv44ANZO3RzcgMTgEeAMMDaMv46EAVoPW6llFJKZU86Q6SUj7FYpDhCpUrw6qsSDNWqBcuWwfLltxIM2WsI3GV3+W2gKvAtYNzOHSullFJKeSUNiJTyEYYBixZBjRrw1FNw+jSUKSNltbduhQcfdPVPjAdWABeBPkB74KSrf4hSSimllEdpQKSUD9i4EZo1g44dYe9eCAuDjz+WdUKPPw5+bvlPDgD+AkYDgcBSoBrwOZDojh+olFJKKZXlNCBSyosdPAjdu0ODBrBmDQQHw8iRUjlu2DC57F4BwCvA30g6XTTwHPAAcMzdP1wppZRSyu20qIJSXujff+Gdd2D6dEhIAJMJ+vaVfaVLe2JEVYA1SL+iV4Ct6PkUpZRSSllZLBARAZGRULw4NG5s7X3o/TQgUsqLXL9u5t13/fjkE7h6Vfa1ayeV5KpX9+zYpPLcC0BHYDdwh911Z4ASnhiUUkoppTwsPBwGD4ZTp2z7SpWSarhdu3puXM7SU7xKeYH4eJg2zY/nnmvJu++auXoV6tWDlSth8WJvCIbslUOCIqvlSfveBuI8MiKllFJKeUZ4OHTr5hgMgRR/6tZNrvd2GhAp5UGGIS8Ud98Nzz9v5vLlYCpUMPjpJ1shBe83HwmE3gLqAps9ORillFJKZRGLRWaGjDQ6c1j3DRkix3kzDYiU8pC1a+H+++Hhh+HAAShUyOCpp3by998JPPKIrBvyDZOAH4BCwC6gAfAS0tRVKaWUUtnV8uWpZ4bsGQacPClri7yZBkRKZbF//oFOnWSx4fr1EBICr78O+/Yl0KHDUQIDPT3Cm2UCegB7gZ5ISe5xQE2kbLdSSimlspMlS6BLF3joIeeOj4x073hulwZESmWRM2fg6aclPe7XX6XyyjPPwKFD8O67EBrq6RHersLAbGABUmDhIFJsQSmllFK+7MwZuG6X+LFlC8yfL2ugnVG8uFuG5TIaELmDxQKrVsEPP8hXb0+cVG4VFSUzQHfeCV98AYmJ0Lkz7N4N06Z5/4vEzXsI2ANMAbrZ7f/PM8NRSiml1E07eBA+/FB6IZYsKUWerB55BEaNksCoVKn00/xNJmkX0rhx1oz5VmnZbVfz9bqDymXi4uDzz2X25/x52dewoby43H+/Z8fmfvmRBq5W/wHVgHbAeKCAB8aklFJKqfQYBmzfDvPmybZnj+P1O3dK1TiAKlXg7bfl+4kTZb/J5FhcwRokTZjg/f2IdIbIlbJD3UF12xIT4ccf5cVi8GAJhipXlhcXayGFnOd34DzwNVAV0P8FpZRSypucOAF16sB770kw5O8PrVrBlCnyUfadd9K+XdeuMGeOzCLZK1VK9vvCfIDOELlKZnUHTSapO9ipk/eHyeqWrVgBL70EW7fK5WLF4K234Mkn5YUl53oM6VX0JLAPeBhJp5sEFPXguJRSSqmc5cYN+OMPOVGbmAhffin7y5SRk7ZFikjBhA4dICzMufvs2lU+4kZESAGF4sUlTc5XPvLm6I9oLhUR4XzdQd9oLqNuws6dMHIk/PabXM6TRwKjYcMgd27Pjs17NAS2A+8BY4E5wApgIvC4B8ellFJKZW/R0VIZbt48WQt09arsDwqSlLe8eeVyRMStt/0wm333I66mzLmKs/UEf/sNLl9261BU1jlxAvr2hVq15E/r7w+DBsHhw/DGGxoMpRaMBESbgVrARWCNJweklFJKZWuvvgqFCkGPHvDTTxIMlSgBAwbAokWQK5ftWN/pgehaGhC5irOlwj74AAoUkGekVXx82ql2ymtduiQzQJUqwTffyJ+ve3fpMfTZZzLdrDJSG9iEFFgYZ7f/CtLHyMoCrEIav65KuqyUUkqptBw/LkUMrMWcAAoXlkJPFSvKZ5cNGyRpafJkaNkyp6f0C30IXKVxY1k9dvp0+sFNSIgsKjlyRJrRWE2fLivVGjaU5M2GDeGeeyA4OGvGrpwWGwuTJsHo0RIUATRtKpXj6tf37Nh8TwAw1O6yAXQH4oAvgJ3AYMA+FbUUkmLnAys0lVJKKTczDNi7F37+uRJvv+3P9u2yPzQU/vc/+f7xx+HBB6Fq1Zw7A5QZDYhcxWzOvO7gt9/KqrN//5Vw3WrDBjh3TjpczZ8v+wIDpdTH/fdLOG9/vMpyFgt8/72kwZ04Ifvuvlsm/Nq21RcY19gP/AXEIJXo0ur2dhopxjAHDYqUUkrlVP/+C598ImuCDhwIAO4CwM8PGjWSFDmrwoX1Y2RmNGXOlZytO1i0qDxjrWbMgL/+gnHjpGNnkSIyt7l+PYwf7zhT9OOP0s1z1y4pDaLcyjBkbdA998haoRMn5M/55ZewYwe0a6fBkOtUAXYDD5B2MAQyiwQwBE2fU0oplVPEx0sSkpXJJB8bDxyAwECDOnXOMm1aApGRsHo1PPSQ58bqi3SGyNVupe5gcLCkyTVsCC++KJ/CjxyBdevg2DFb6Q+ATz+VQAkgXz5pH2xNtatf3/FYdVu2bpXJuRUr5HK+fPDKK/DCC44LEJUrlQNeR6rPpccATgIRQLMsGJNSSimV9WJi4PffZRZo4UKoUQNWrZLrihSBUaOk52HLlgmsXbuRdu3aERDg0SH7LA2I3OF26w6aTFChgmwptW8va5E2bIArV2DZMtlAZqbsS39fuCAFHHQK46YcOQKvvSaTcSDZi4MGSZWWggU9O7ac4ayTxzlZ2VEppZTyEZcvS+W3efMkQyUmxnbd/v1w/brtpOybb8rX+PSSKpTTNCDyNa+9JltCgqTNrVsn6Xbr1smaIyvDgGrVJDizFmq4/36pD62nD9J0/rx0Z54yxfbi8thjsq9sWY8OLYdxsmIjfwFtACe7ximllFJerk8fmQ2yKlNGmqR26SIf43yl0amvyfI1RLNmzcJkMqXaZs2axe7du6lXrx5hYWGMGDECw2dLUWdBqWB/f6hdGwYOhNmzJbXu++9t1585IzNEZ87AL7/A0KGSUpcvn5RFmz7d9WPyUTExUjWuQgWpixEfD61awbZt8N13GgxlvcZAKdtyoZSS908GSgBPABtJ/wZKKaWUdzl8GD76SM5XHz9u29+pk5zPfv11Sd0/elSKJzRposGQO2V5QNSrVy8uXbqUvJ08eZJChQpx33330bFjR+rUqcOWLVvYu3cvs2bNyurhuUA4UBZoDvRK+lo2ab+b2RdfKFlSUupWrZJP+x06SPrc9euwZo2swrOKjoannpJKAfv25ZieSAkJ8MUXUpf/tdcgKkom0H7/XbbatT09wpzKDBt6SnyTsm5IIrL/SCugJhALzAIaAPcA04BrWTdUpZRSygmGIcWY3nxT1gLdeSeMGCHLwq0FhgGeeAJ274Z335WCTrrqIWtkecpcYGAggYGByZenTJlC165d+eeff7hy5Qrjx48nJCSE0aNHM3DgQJ544omsHuJtCAe6ybPe/glsnAaTB0oFh4TIbFDTpnI5MVECob/+gpo1bcdt3AgzZ8oGEjhZizw0bAj16sl9ZROGIdPRr7witftBZoHeew969nQsAKg8wGKB7j9APaTlUGm7604hrYs274OjR8C8Bfgc+AnYAQwA2gO5s3bMSimlcgyL5eZqZ/39t6S8HT1q22c2Q/PmtnQ4K/0M4hkeXUMUGxvLxIkT2bhxI19//TUNGjQgJOmDd40aNdhr/bSahhs3bnDjxo3ky1FRUQDEx8cT75HVZRb8/V8AjNTRvMlImnQZTEJCO8CDc572xRqsj1OxYviNGIFpwwZMmzdjunhRVvQtWgSA5dNPSezfn/j4ePyvXiXh+HFJavVBGzeaePllP/76S15xChQweOWVRPr3TyQoSF7kLB6q5mx93nrm+esBcXHS3fbiRUyXL8PFi/L9li2YT52S4GcBkkFXHKmhEEHSrNFJElauwmjaFJgBfICf33fACRITi2It2+3n9zKGUQ3D6EZ8vLzc5ZjHN4vluOdvFtPH17308XWv7PT4zptnYtgwM6dP2z7slSxpMH68hS5dDOLiYOVKE4mJ0LatZNyUKgWnT/uTKxe0amXQqVMi7dsbFChgu9/beWiy0+PrSjfzeJgMDy7U+fLLL1mwYAELFixg+PDhxMbGMnny5OTrCxcuzIEDBwgLS71o+q233uLtt99OtX/27NnJQVVWKlhwF40avZHpcWvXvsuFC9WzYES3xhQfT76jRymwb1/ytuGNN4gqVw6AMsuWUWvqVGIKF+ZilSpcvOsuLlapQlSZMhiZJbdaLBTcu5fgS5eIDQvjQtWqWZYQe/p0br79tiobNpQAIDDQQseOh+nS5SB58iRkyRiyJcPAPyaGwKtXCYiOJvDaNQKiowm4do3A6GgCrl6V65K2wKtXZf+1a/jHxt7Wj/7v7rs51bQplypVIrpUqVTPpZCQs7Rq1R+AuLi8nDjRnGPHWnPtWsm07k4ppZTK0Pr1xfngg3pJlxxSgQC4664LHD+ej5iYAMqXv8z48auTj/jnnwKUK3eF4GDtoZdVYmJi6NWrF1euXCE0NDTDYz0aENWvX5+3336btm3bMnLkSOLj4xk/fnzy9aVLl2bDhg2UTNnolLRniEqXLk1kZCQFPVAb2WTMxj+wX6bHJcTNwjD1cv+AXMX69DCZiI+P52S/flSaOxdTiqawRp48GPXrY5k0SRJjUzDNm4d52DBMdl3FjJIlsYwfj2E/V+xi//4L773nxxdf+GGxmPDzM+jd2+DNNy2UKuW2H3tL4uPjWb58Oa1atSIgqysBxsamnq25dAlT0j4uX5aZw6TrTJcuyfGXLqV6LtwMw2SC/PkhLAwjLAzCwiA+Hr/VqzO9rcP95MmDUbcuRr16GPXrY9SvD8UD8fObgZ/fF5hMJ5KPtViaYhj9MYyHAK246Coeff7mAPr4upc+vu6VHR5fiwXuvNM/qTlqxgt7ihWTWaBPPknEPwtysbLD4+sOUVFRFCpUyKmAyGMpc4cOHeLQoUO0bNkSgAIFCrB7926HY6Kjox3WG9kLCgoiKCgo1f6AgADPPBl2XIJamR/m/92fUKGsJJ0WKyaNVH1oxdy+xx6j/OefE7B9u63c9/r1mKKiMK1YgV/x4ray3pMmycrAwED5PkXsbTpzBv8ePWDOHGlo60LR0fDxx1LB5VrSGvv27WHsWBN3323CA/VEnHbLz+HERCmkkRTMOHzNbN/167c36Fy5JJgpUMD21f77dPaZ8uVLntlJ/i+wWGRR1+nTaRf4MJmkIdT//gebNsGWLZiuXsW0apWtYx1A6dJw773QYCC0hsTKKzD5/47ZvBpYDXwF9Lu931ul4rHX4BxCH1/30sfXvXz58f3rL7A7p5uuSZPguedM+PmZyeolEr78+LrDzTwWHguIfv75Zzp06JA82Hr16vHFF18kX3/s2DFu3LhBAfsES2+2rzAUBEqS/mftaGDQt3D9W9u+kBAJjuy3YsVS7ytY0HtW2uXNCy1ayAbyAXbvXgl+8ue3HffLL1LRLj2GIR9uhwyROpMuSJ+Lj4cZM+Dtt+HcOdlXrx6MG2erLeH1rl+Xwd9sUHP58u1VCPTzk7/fTQY1hIXZusS5gtks9c+7dZPnh/3vZD15MG2aLYi2Pv82brRte/bAyZOyzZkDL4LJbCbqvlLkfaUQfvdHQmR1qJSY9H+1OOkHtMGja/yUUkp5pX/+ce64AgW85+Oacp7HAqLffvvNoYJckyZNuHLlCt988w19+vRh7NixtGzZErOvFF0vVhIGI4XkEnEMigzk9HdeYHswDCkKf12UaYyYGClGf/hwxvfv7y+BUlrBkn0QVaxY1jdeNZuhenXZ7I0YIeP5+ef0b2sY8qE1IgKaNbvlIRgGzJ0Lr74KBw/KvjvvlIrj1s/VWcpikQDF2WDm0iX8L16kw4ULmOPibu9nh4TcfFBToACEhnrPq3jXrhLIDB4Mp07Z9pcqBRMmOM4o2j//nnpK9kVHSwMHa4C0YQOmyEjyrT0J7U8m3bCu9OWqVxe+2wlF/wNLaTD3B/4HFMua31UppZTXOncOPvwQPvvMueOLO9tbXHkVjwRE169fZ+PGjUy3aw7q7+/P9OnT6dWrFyNGjMBisbD6JtcReFTjxtC7FHQ/BRNwLBV8EvgG6O8HlWNh6TlgIlztAWf/lbqN1u3sWcfLkZFw/rw0zTl1yvHDYXoKFcp8xql4ccjt5tLEHTrIB9OMAiKrvXtvOSBaswZeekk+9wIULgyjRsEzz0i23i0zDAlYbyKoSd535cpN/zgTdnMTZnPqgMWZACcsDNJIJfVJXbvKzOHN1Da1yptXnk/W55RhEH/0KNunTaNOQgLmzZthyxb5O0X8Cd8h/V0LnAReg4TX4UhNiH8SKjwJwS6cAVNKKeX1zp+XtPvPPpOPAiCfKdI7Z2kyyTm7xo2zbozKdTwSEOXKlcuhIIJV586dOXjwIFu2bKFhw4YULlzYA6O7RfZpPgsMaIStVPBaINEEtadD+5+A5cAzkOd3uHN6mkUIHMTFSXWAtIIl+yDq7FkJnM6fl23XrozvN0+ejGebrFuBArc+xeLsqZJBgySyGTnS6Y6oe/bAyy8nVwcnJASGD4cXX5TJjmQJCcnFAG56fc3tztbkyeN0UBOfNy8rd+yg+cMPE3A7j3l2Yjbf1sxhMpMJSpcmsmFDEtu1wxwQIM+L3btts0gt10P1ffAs0NCASjuA52HKYPjqHlmPZN0qVtS/j1JKZVPvvw9jx8LVq3K5bl145x0JjLp3l31pZXNPmJBlxXOVi3m0D1FaSpYsmWZVOZ9gn+az2m4mp3Rp+S9p3xU5Df0x8CqSX7cJmA3cn/79BgbKfZQunf4xIIvqL1zIeLbJusXEyH/6wYO2HLOMfn6xYpiLFaM+4LdkCZQsmTqIKlqUVOVUGjeW9U8XLqR//yEhMp6ffpLtwQclMGre3PYqYxgy3kuXOLfvIl9PuMSm3y5S1LjESNNFmtW8SOO7L5H7n4vQNUVQk9Sj6pb5+9/8TE2BArIe52amqOLjuR4ZKdGcfth2P39/qFVLtmeflX1XrsDmzTBjPpRaBI1PwLxEmU3asgXmT4ZSwIH8UD8pOGrQAOrXl+e5UkopnxcdLR85ateWQKh9e9vbsrPZ3Mq3eF1A5PMyTfPxA0YAzYCewGGgCfAWEiTdxqkFPz/JFytcGGrUyPjY6OiMZ5us28WLMkty4gR+J05QHKSyV1pMJvnZ9oFS0aKZVzDz85NpnWXL5Iz977/Llju3rPGIj5fAJkH6BRVBHsFkBrAjactIaOgtVUIjTx4NUHKKfPmgZUugJTAJjCiYcR42bpZZpDo/wWNnYMdlmLoMxi+DpDOI3Hmn4yxSzZrZJ31RKaWyqStXJJhp2RLuTzo3/eKLcq6rU6fUb/+3k82tvJcGRO7gVJpPPWAbMBBZwDAK+DPp+yxokJM3r2yVKmV83I0bEiSdPUvCyZPs+eMP7i5YEPO5c44B1L//SiGBc+dk+/tv58dy9aok6qZ07ZqtZnaSOAK4SAGu5ypAwTvDCC3jZFCTP3/WF5tQvs8UCmVDoWx5ePRR2WdMhVqxMA2YEADzQmDsFdh1CA4dgu+/l+MCA+X0on2QVL68BtdKKeUFoqLg00+lRcfly9K1YeVKua5QIejcOf3buiqbW3kPDYg8KhT4FngQGID0RqkJzAQ6e25Y9oKCoEwZKFMG4557OBYQQFXrGgx7FousW0o527R6tcz2ZKZBAzmjbg1mzGaMv9axL6Y0w3f2Y9fpMK4QyotFvqPOhN606xGqnyuVB4wH0+vA18DnkOsA9LoCvYD/6sHUDrY1SRcu2L63KlTIMUCqX9+xVL1SSim3unpVegWNGydJMABVq8Jzz9m6gaicRwMir9AbaICk0G0FuiAB0keAj1S3MpslPa5oUVmTYdWwoXMB0ZgxDqdb/vwTXvpuKNu2yeVixSC8w0+0/GIQDHgddg+AF16Qn6dUlioADAWGACuBz4F5UPg+KW8IYCTCiVWwNtIWFO3YIScNFi+WzapyZccgqUYNnc1USik3mDVLOoKcPy+XK1eGN9+ERx7RlLeczkuajiioCKwDXky6PAWoD+zx2IhconFjWW2Y3imXpOpf1jqVf/8NbdpILu+2bZLV9+67konU8qEQefW6fFkaDJUtCwMGwJEjWfbrKGVjAh4AfkZq679sd1UElGkBj30FnzaBjWslP2PDBqlG2asXVKggx+7fD998AwMHSimj0FBJZB82TErWHz9+ew13lVJKAfJSev68FAr99lupVtuzpwZDSmeIvEwgMA5Z0N0X2A3UBT5BagH74DyuXTlyw2TCZPfBzjCZ5DeaMIHjp8y88QZ89528YPn7y/T1G29InQYAOnaUUi+//ir1MDduhKlTYdo0Ob3z5ZeQy0dm1FQ2k7KJ6ybk//XPpK0YBD0J9z4D975gO+z8eSlSktQ8lk2bJOBft042q6JFHWeR6tVLUVteKaWUvevXYfp0efns0UP29e4tHxO6dUtdFFflbDpD5JVaA38nfY0FngO6ARc9Oahb17UrG16cQ6SfYzn1M36lWDlwDi+u60qlSnK2xjBk7fq+fbLYMVUrKj8/Wem4fr2sgGzTRsqNnzgBwcFZ9RsplYkRwFHgNaAocBZ4HygHdCT5f7lQIWjXDt5+W6osXrggT/6vv5bZzzp15F3733/lRMBrr8n0af78UK0a/O9/ckLg77+TqzAqpVROFhsra4QqVIAhQ6SLh7WloL+/BEcaDKmU9CnhtYoCS4AJSCpOOHLW+XukTLfvCA+Hbh91xWR0ojERFCeSSIoTYWlM4iTbPHWzZvDhh3LyO1MmEzRtKtuOHVKa25qWd/GinP55/nmpjemncb/yhDLAe8CbwAJkrdGfwD4gv91xsUBSMO/nJ2mhlStDnz6y7/p12L7dthZp40Y4dgz27pXtq6/kuJAQSbmzn0kqlQUVK5VSygvcuCGJIqNH23oElS4t55G0UILKjAZEXs0PGAY0BXoAh4DmwBvA6/jCn89ikQZmhgEGZlbTLNUxAQEwdy506HCLL1r2RRxA0uhWrpStcmVZQfn449oTRnlIADLD2w3YD0Rim5yPRWaNmgD9kf5kKf4JcuWS4iQNG9r2/fuvY4C0ebOsUVqzRjarEiUcA6S6daWvllJKZSNLl0L//pIsAtI7/rXXZBJd3/qVM7z/E7UPslhc3bCrDtKz6Hmk3O/byJnm74E7bnu8zkhIkN6o587lYudOOWkdFSUNzaKibJv95StX5CyNfTfntMTHS/EEl53BefppGeDkybJg/amnpPrX0KHw7LPyw5TyiMpJm9WfSDrdz0lbZWS9YF+kml06ihaFhx6SDSRtdN8+xyBp1y44cwbmzZMNZAaqWjUpc28Nku66S1cUq6zn+jdKlYPlzy/BUPHi8Oqr8ravWfTqZmhA5GLh4TIjYh8ElColdQW6dr2de84LzAJaIWuK1iI9i74AHk73VhYLREenHbCkFcCkd5z0Rw1Aeia5XmSkC++sSBF47z1JHJ4+HcaPlw+GI0ZI44GjRyW9SCmPaw/sQNLpvkNmkIYBrwKPIjPBd2Z+N35+0kijalV44gnZd+0abN3qGCSdOiWB0q5dMGOGHJcnj+Sp2s8kFS9+c7+GxYJp9WpKrlmDKXduaN5cP9yq9LnvjVLlAAkJMHs2/PcfDB8u++67D+bMkSWZWltJ3QoNiFwoPFyWrqSskHv6tOyfM8f51/rERGkeljqAeQzDaECTJr0oXnwT0I1Vq55l+vTxnD8fkiqguXrVtb9jQICFsDA/QkNNhIZKoat8+Ujz+9BQOWPz6quZ3+/Nfv5ySt688mo5aBB8/70sUGrQwDEY+vdf7WWkPKwmMBX4EJn1nQrsRGaDX87gdpnInRuaNJHN6syZ1Kl2V6/aUkytSpeWwMg6k3TPPemfREj6cOt/6hR1QU5A6IdblR5XvlGqHMVigR9/lBo0Bw/KDFCvXrbPDw+nf25YqUxpQOQi9mtlUrLue+opmZxIO9Bx/D46OqOfVgF//7W8++4bvPzyBzRrNo3ChSPo0eNHdu+unuYtAgNTBysZBTJpXRccHM+ffy6hXbt2BDjZONJigSlT5L0urcfGZJLPTkltiNwjKEgSifv1c4wQd+2C2rWhe3eZTUq5FkmpLJUXWUf0LLARWAVUsbv+GeQluz9Q49Z+RIkS0KWLbCD/oHv2OAZJe/bAyZOyzZkjx5nN0jDWfhapcmWYP18/3Hq7xETZLJbMvzpzzO3cR0JCxm+UJpOUBevUSWcYVTKLBX75RQKhfftkX8GC8NJL2n1AuY4GRC4SEZH5WplLl+DFFzM+JqWAgPSClQBOnBjLF1+0pEeP3lSrtpcdO+qxZ8/HXLw4IHkGx3pbVywqjI+/+dvYtSHCZHJ8H7SuGZowIYve+/z8HF89f/vNdsrpxx+hdWt4+WWpXKclaZTHmIAGSZvVOSRlNh6ZQboPWzn+28gPsQY6NWrI2juQszFbtjgGSZGRUulu+3b4/HM5LjRUyjpl9OH2hRekfCS494O2J+4ri+/DPzGRVlev4h8UdHP34UsMQwLxiAjb80blaNu2ScHNPUk96sPCJPt90CBdDqxcSwMiF3F2DUzDhvLZw9kZmqCgzD6bt0TSa/phNi+hRo1BwO/Al0DB2/ytXKNrVzlRnFbK+IQJHjyBPGKE9HT58EP4+WfpA7NsGdSvL4GRluxWXqMw8Buy1mgesD5pGwL0Q4IjJ9YaOSNvXlkD1Ly5XDYM+cfdsMEWIG3dKtPZGTEMmSkq6B2vQ77OBLht5aPJJMGxn1/aXzO6ztmvZjOcO2f7ZJuRMWPk+dO4sTaMyeGKFYPDh6VowvDhco5FZ4WUO+grjYs4uwbm/ffdceKrMLAI+BR4CfgVWZfwHaRR5toTunaV+MLrigrVrg0//CB/mI8/liYGmzZJ/c42bXR1pvISJuCBpO0scsJjGnACGA+UAoa66UebZE1R6dKSXgoyXfzRR84tEEzJz8/9H7yz4X0kJCby14YNNGzcmICgINeNw88v62bEV62yBdoZ+f132QoVkjeOrl2hRQutn5zNGQYsXCidAz76SPaVKCFFMhs0kKBIKXfRgMhFGjeWGQ/PrZUxAYORfiY9gAPIh6fXkMaQnv9Tm81enAVRvryU6X7zTfj0Uym0YA2GEhOlIlevXjpHr7xAMaQK3Uhk1ugLpEy31TxgK/A00hzWDQICpKyTM5Yts1WdM5k0HfUWGfHxXL5wQQpcOLmG0+s480ZZsCC0by+fjM+fh5kzZcubV5rVPfywnKzKnTvrx6/cwjBgyRJ5+926VfZ17y5LFUH+3Eq5m+YDuYh1rQykfr/P2rUytZEPQ/8DDOA9JEg65u4fnD1YS3Y//7xt34IFMmN0xx3w+uuS9qGUx5mRst3zcOxZNA54HygPdAQWAxbX/3jrh9v0AhzrzFKLFvIBPitnIpR3cuaNcto0mDVLKoD++ScMHCgpBdHRMpvfrZvMHHXpAt9+K4tzlU8yDFnK26CBxLpbt0qc+8orcKeLMoCVcpYGRC5kXStTsqTj/lKlsrrYUh5gJvADEIqsNaiFNH5UNy0gQCpqXb4sqXVlysib9NGjnh6ZUikYSB+jB4BEJJW2A1ABGA3867of5T1ngZQvcfaN0t8fHngAJk2SNWzr1klVonLlIDZWKhz26SMnsdq0kZ5z/7rw+a3c6sQJuP9+aNtWstRDQqRq3NGjMHq0Lj1UWU8DIhfr2hWOHZOWHrNny9ejRz1VOKAH0vSxAXAFafT4NHDNE4PxXR06wN690j+jfn15M54yBSpWlDS6a/p4Km9hQirP/QnsQ9YVhQHHkfTZ3q79cd5zFkj5kpt9o/TzkxTNceNkhf2OHfDGG1CtmpTyXrYMnn1WZpKaNJFA/cSJrPyN1E0qWlTi3OBgGDYMjhyBDz6AwoU9PTKVU2lA5AbWtTI9e8pXz54gLQesQdYcmJD1BnWBvz05KN/j5ycpGhs2wIoVUqLbYoFDh9JvWKmUR1VGCi6cRpq8NkBOiFidBSYAF2/vxyR9uE1Yvpwtw4aRsHy5J88CKV9xq2+UJhPUrAnvvAO7d0tjmjFjoG5dycGKiJBeRmXKQL16ct3+/W78RZQz1qwxMXFibRIS5HJQkGRAHjki9Yy0P7ryNA2IcoQAZE3BH0AJ5MxxfaQqXRoLW1X6TCZZIP7bb9Ig4dNPbelBV65Aq1aSyuFr/T9UNpYL6IOkznaz2z8TmUEqiZTu3sAtvx6YzRhNm3K6SROMpk09fRZI5SSVK0ubhM2b4fhxSdNs0kRel7dskUqIVarA3XfDqFEyu5RWQQflFmvXyjLCli39WbnyDn74wZZee//9zlfoVcrdNCDKUR5AZoY6AnFIVbqHgP88OSjfVbu2rAa1+vxz+OMPmUmqVg2++gri4jw3PqVSsV/rUwGoAcQiM0j3Afcg5byjs35oSt2uO+6QhnerV0t/h2nTZDbf31/6H737rrxu33mn9KFbv15PXrnJ+vXw4INSe2XFCggIMGjT5ijNm2swqryTBkQ5TiFgAfAZEIQsuq4JrPDkoLKHfv3kbGS+fJLG8b//STnv8eOlQpJSXsW6xnA9UrY7OOlyfyRYuuGpgSl1+4oWhWeekdn8c+ekIl3nzrJo5cgRaXTTsKGsdxs4ENPKlZgsbqjGmMNcvQrt2slDu3y5xKLPPAN79ybQv/9OSpXy9AiVSpsGRDmSCRgEbASqAJFAS2SdUbwHx+XjihaVKnQnTsji3+LFpd/G8OFQoYK8UyjlVUzI2qJZyFqj8UAloB1ywsRqIXA9qwenlGuEhcHjj0uHz/PnpeCHta9cZCRMmYJ/69a06dcP89NPw6JFUjxH3bTcuaXOkNks5wQPHJCJujJuaommlKtoQJSj1QS2IAutDWAM0BjQctK3JTRUysMePSoNXStVktyBPHlsx/ynaYrK2xRA1hTtQ2aQrbYjqbWlgOFI0+eULJhMqylZcg0m02rc0vdIKVfInVuau37/vbwOL14MTz6JUbAggdHR+H39NXTsKOXOevSAX37Rk1kZ2LFDHqYLF+SyySQ9zvftk3665cp5dHhKOU0DohwvNzAd6VGUD5k1qoX0MFK3JSgInnpKSnZPmmTbv2+flCl+/HHYudNz41MqTSYgr93ls8AdSDW68Uj1upbAHGRGORwoi79/K+rWHY+/fyugbNJ+pbxYUJDkd33xBQknT7L23XexDBggr89Xr8JPP8Ejj0gj2E6d4Ouv4eJtVmXMJnbtkriydm15mMaPt113993aWFX5Hg2IVJLuSMGFhkAU0Av4H6Bnxm6b2Qz589suL1kC8fFyhrJmTWjfHtas0cpHyku1BY5ga/JqQvocdQeKIJXrTqW4zemk/RoUKR/h78+F6tVJnDBB0p43bJBOoRUqwI0b8Ouvsk60aFGZ8f/8czh71tOjznJ798Kjj0KNGtKaz2SSyum9XdziTKmspgGRslMGWA28gXzo+QqoA2zz5KCyn2HDpGT3o49Kf6MlS6BpU8xNm1Js40ateqS8kBloj6wlOoo0eS2CnDxJK5C37huCps8pn+PnB/feK51CDx6Ev/+GN9+E6tWlEezy5fDcc1CiBDRqBJ98Io1mszHDgL59Zfbn559l3yOPyEzR7NlS2VwpX6YBkUrBH3gHqTpXElkv0AD4BO1Z5EK1a8OPP8qK0/79ISgIvw0bqDVpElzXxevKm5UB3gO+AzIK3g3gJPAIUsp7s/uHppSrmUwyHfLWW5LivH8/jB0L9etLlPDXX3KSq1w5qFNHCuvs2+fpUbucySQF+gxDUuV27pRUuWrVPD0ypVxDAyKVjmZICl0nZJ3AMMzmTgQGXvbkoLKfChVg6lQ4dgzLSy9xsFs3WfQL8s7z5Ze6oFd5qfNOHheOlPJ+LcX+15H1i2uBSy4cl1JuVKkSjBwJGzdKat2nn0KzZjKrtG0bvP463HUXVK0q32/b5pPp0IcPS4bg33/b9o0aBdu3S5G+6tU9NjSl3EIDIjeIi4tjwoQJPP/880yYMIE4n23OWRCYB0wGgvDz+43mzYdgMv3h4XFlQ8WKkfjeexzu1Mm2b8kSePJJaTY4apRWplNextkW848AbYAmdvsuA+8DzyKVLQsk3V9LpGH0QpeNUim3KV0ann8eVq6U8t0zZkDbthAQAP/8I7NFdepIP7rhw2U2KbOUaIsFVq2CH36Qr1ncG+noUXnbqVxZaki8/bbtupIloVatLB2O9/Lw30m5ngZELvbSSy8REhLC0KFDmTRpEkOHDiUkJISXXnrJ00O7RSZgALAZw6hKcPBl/P3bASMBXw30fEjFinDpknRYL1NG3nyzea668hWNkVLcpnSuNwGlgdnAUmRGyCoeKeHdJukYkGp2fwKfAkvsjr2GBEovIKl3OqOkvFCRIlJVdMkSOXn13XfQtSvkyiWv2ePHy3qjkiVl/dEff0hxHXvh4VC2LDRvLn2SmjeXy+HuL05y/Lg0UK1USRITLBZo0wZeftntP9r3ePDvpNxHAyIXeumllxg3bhyWFGcKLBYL48aN8+GgCKA6CQnrOHq0TdLlD4FGwGEPjimba99ezjL+8gvUrStriyZNknqmjz0G0dGeHqHK0czAxKTvUwZF1ssTko5LqTDwERIonQCuABuAL5FAqZ3dsfuQQOkzJPUu5YyStghQXiZfPnmNnjtXGsGGh0ubhXz5pDLd559Dq1ZSsa5fP6lg9+OP0K0bnEpRsfH0adnvxg/bb7wh595mzJCaEa1awbp1sHSpLJVSdsLDPfZ3Uu6lAZGLxMXFMd6+EH8axo8f78PpcwAh7NzZn4SEn4AwZJF0beB7zw4rOzOb5UV20yY5o9iqlZy627PHsdGrUh7RFelHVDLF/lJJ+7s6eT+hwL3AE0ig1NHuujuwBUptki6DbUbpjN2xu7EFSvYzSto7RnlISAh06QLffgvnzkmU8fTT0vj10iXJS+vUSWYa0lprZN03ZIjb0rLCwmSy6oEHICICfv8d7rvPLT/Kt1ksMHiwx/5Oyr38PT2A7GLKlCmpZoZSslgsTJkyhSFDhmTNoNzEMLogleceByKSvv4OTMKxoaNyGZMJWrSQbetWmS0yJZ2Fj46W+qf9+0uHdT89z6GyUlegEwkJK9mxYym1arXF3785ac8M3YrCSKBkLxrYm7Q1sNu/BwmUrMGSvWJIsPVY0uUYIBaZbVIqCwQGSh5amzZSTGftWplRmD1bZpLSYxhw8qRUu8uXz7bP/quT+87GF+SDs31ommcbnfOvAsOgf2Iwde+8iyYXt8Hzt3DfTvxsf8PggWvX8A8JkfeuW7wfV43nlu4nLg6iokiX9e8UESGFNpRP0YDIRQ4fdi51zNnjvN8dSGnu95Ey3d8A65D0lboeHFcOUKeO4+UZM+C332S76y5pJtirl7z5KpUlzBhGU06fvkbNmk1xXTCUnrzIjNK9KfZ3ADYigdEeJGDag6TlnQXsZ1V/B7oggVJVoJrdVhUNlJRbmc3QtKls994rKXaZ2bv3ln/cOQrzIS8xhQFcJ4Tl52ryEJ/gh0EI0IT1t3zfzjCRg06X9usn2Rx168r7dfXqEBTk6VGpTGhA5CIVKlRw6rivv/6akJAQ3njjDfL4fMqTP/Am0ALoBRwCGgKjgWFoRmYW6dlTUjGmTpU1R088IUnhw4ZJaobPP8+UclZuoH7SZi8a+AeoZLfveNJX64zSihS3CUcCJpCA6gQaKCm3KFHCuePefddW79pkt24vre+Tvp6/EsC48ApMWlSGmBvyka9BlUu8/fh1TPcsAT/n7ueW9tl9n2CxsH79eu677z78AwJu+X5cNZ5b2rd5s7y/Zub4cfjiC9lAqg5Wry7BkX2QpCctvYoGRC4yYMAAXnzxxUzT5qKjo/nwww+ZPn06jz/+OH379qVOnTqY7P/pfE4jpGfR08BcYASwHPgaOfuq3Kp4cWkU+MorMG2adE0/dUoCotGjpaFEaKinR6mUB+UldZA0GEnF+wfbTJJ1VukEUNHu2J+R1zVIPaNUFagDhLhp7Crba9wYSpWShflprU8xmeT6V16RmSUnTZ8ubwPXrsnlevWkjHabNmGYTPVcNHjnGPHxXIyKwmjUSAIEX1SlipxszOjvVKwYTJgAO3ZIevuWLXDxovSj2rZNMjpAgqGUQdLdd2uQ5EF6Ct9FAgMDGTZsWIbHdO7cmXr16hEcHMzly5eZNGkS9erVo1ChQrRr146tW7dm0WjdIQz4BVnEHIyko9QEfrM7xgKsQtLqViVdVi6TL5+kyx09Ku+EFStKOVD7YOjCBc+NTymvk7KYw1Jk5igKuMvuODOOxRxWYKt61wSphGe1Bi3moG6K2QwTkyo2pjw5ar08YcJNBUMgMdS1a3DPPbBwofSSbds29Y9QTnLm7zRpkqzpHT0ali2TtWFHj0q12JdfllS6sDBZj7R1q7xXP/OMBER580rU2r+/zC5t3566NLtyGw2IXOjDDz9kxIgRmFO8aJnNZkaMGMG8efPYtGkT0dHR/Pbbb/Ts2ZOgoCAuXrzI0qVLqVu3LoUKFWLQoEFc8MkPribgGWALUB04B7QFXkTOsJYFmiPpdc2TLmuJSpcLDpZUuX/+kfKuVocOSWpG796wa5fnxqeU18uL4zqoodgCpY1I1bsXkde3skAVu2N/wFYevCCpq95puXyVhq5dYc4c6VNkr1Qp2d8144qNV67I7M+ECbZ9bdtKcdItW6BDBw2EXOJm/04mk/Qo6tYNxoyREn4XLsCRI/DzzzByJLRsCfnzS5C0ZYtkejz9tESyefNK7fPnnoOZM2XmSYMkt9CUORf78MMPee+995gyZQqHDx+mQoUKDBgwgEC7aVB/f39at25N69atOXPmDC+//DILFiwgKiqKCxcuMHnyZCZPnkylSpUYMWIETz75pI+l1FVDPjSMACYDH6dz3GmgGzdXnlc5zWyGAnbrHRYtkhfc776TrX17OWPVqJHnxqiUT7Gm3mXUnKUGEijZF3Owr3r3qN2xU5GUPWvqXTV0jVIO1rWrlOCOiIDISEmHbtw4w5mhqCj49FP4+GO4fFk+Vz/xhCQMWIuTKhe7hb+TA5MJypWTrXt32WcYMpO0ZYvMHFm3y5dl7dLmzbbbBwVBzZqO6XYVK6b5o5TzNCByg8DAQKdLa5coUYJvvvkGgBUrVvD222+zbt06EhISOHDgAE8//TRjxoyhT58+9O7dm/Lly7tx5K6UCynD/QAS9KSRb4uBzCoNATrh/spUOdyQIfKi/cEH0jBw8WLZGjaUs1QdOmjJbqVu23NJG9iKOVjXJkUC+e2ODQf+SHH7YtgCpI8AXVOQo5jNTpVsjo6W7KyPPpIlKgBVq8Jbb8mkgnIzJ/9OTjOZoHx52R55RPYZhswkpQySrlyR3oSbNiXf3D84mMZ33IHfb7/JjFKdOvKE8NeP+c7SR8qLPPDAAzzwwAMkJCQkzxKdOXOGI0eO8NZbb/HWW2+RL18+unTpwnvvvUfJlFO2XqkAaQdDVgZwEuln1CwrBpSz1akj0/SHDsk76VdfSUvyvn3hxAl9J1XKpTKbUXoWqIWtoIP9jNLfwKfJR5rNT9Gw4Xb8/JYjKck6o5QdWSyZTzwsXiwv2dbM+sqVJRDq3v2mlxkpb2YyQYUKsj2aNLOcmJhmkGSKiqLAgQNw4IAtVT5XrtQzSXfdpUFSOvRR8UL+/v4MHjyYwYMHc+3aNebNm8fXX3/NH3/8wZUrV5g1axazZs2ibNmyPPvsswwbNswhJc+7RDp53E9AGSQf35fSA33UnXfKi+Zbb8ki0Xz5bMGQYcA330jOc+7cHh2mUtlbt6TNyn5GKcbhSJNpDYULHwNSrv8rCtwHzLPbF4NWvfM94eEweLAUCbUqVUpeou2XplSsCJcuydc334QePTQQyjH8/OT9+8475Q8PkJhI/L59/D1zJrUNA/P27RIoRUfDhg2yWeXKBbVqOQZJVapokIQGRF4vd+7cPP744zz++ONs3LiRUaNGsWrVKuLi4jh27BivvPIKr7/+Ovfeey8zZsygatWqnh5yCsWdPO7zpK0Ushi5SdJ2FxoguVGxYrLQ097vv0tjuWHD4PnnYdAgKFTII8NTKmdJf0bJYpnNrl0/UKNGAGaztVT4ceBfUp94uge4jGNpcOv3OqPkjcLD5RxUymrOp0/Dww9LRvPChbKvUiVYtQruu08/xyokSKpYkdNNmlCzXTvMAQEyk3ToUOp0u6tXYf162axCQtIOkm4lynZmitNLOb1gYOrUqSQmJmZ4TFxcHJUqVcrwGHXr7r33XpYtW8b169f54osvqFatGiaTCYvFwrp166hWrRr169dn8uTJHDt2zNPDTdIYCXIyCmryImc4A4BTSJWm55A37yJIwYUJwDa0VHcWsFjk7NPFi1K2qEwZOW15/Hjmt1VKuYVh1OXEiRYkJo4FlgDHsFW9+8juyDjgMBIoWcuDP4ecYCoItEpxz1vR8uCeZbHIS2xarW2s+xYtgj17bPsbN9ZgSGXAz08i5169pOLGqlWy9mjfPimqNHSoPIny5IGYGEmd/+wzycW8+25p19GokTwxv/0W9u6VJ2pGwsOlol7z5vJzmzeXy+G+UU3Y6X+ncePG8cwzzxAeHk5UVBR+aSy+NgyDeC0H6HZ+fn48+eSTPPnkk0RFRfHOO++wfv16Nm7cyObNm9m8eTODBg2iRIkS9OvXj9dee42QEE+lT5iBiUhaiAnH9UTWIGkWEvTEIG/ua5K29cB5JBXEmg4SCtyPbQapLrro2MXatYPWreVF7IMP5KzSp5/C5MnyIjdpkjZ6VcorpNVwNhAJcNJqOHscSbGzSgAaIkFUUVLPJumMUlaIiHBMk0vPmTNQrZr7x6OyKT8/WXBWuTI89pjss1jg4EHbTNKWLdL/6No1+Osv2axy54batR1nkipVkhmgjKY4u3VzqnS8pzkdEPn7+2M2mxkzZgx169blxx9/pEePHvzyyy907949+atvlYf2faGhoXz0kZwdPHfuHLNnz+bjjz/m1KlTnDlzhtGjRzNmzBhq1qzJyJEjefTRRz3wN+qKlNYejMwAWZVCZn6s/yQhSH+i5kmX45Czl9YAaS1yRnRp0gZSza4BtgCpAZo77wJms6zQ7dYN/vwTxo6Vr9u2yRklpZQXSy/1Lhq4Znf5HJLWbE29s84qWXVDGm4DJAIzkDTmashs0+2wIMV0IpPG0JicWmk00smltufPu3ccKgcymyU9rkoVePxx2WexSHGGtIKktWtls8qTR9LtduxIf4rTZJIqt506eXX6nFMpc7Gxscnfm0wmpk6dSqFChZg6dSrFixd3+Gqk9YCoLFGkSBGGDBnCyZMn+fnnn7nnnnvw8/PDMAx27NhBz549CQkJYcSIEZw9ezaLR9cVSfFYCcxO+nqUjPsPBSKpdCOBxchZz23YgqhCwPWk+3obaAHkQ854voyklVxx9S+Ss5hM0jTujz+kD8LkybbS3DEx0LGjJLZnkk6rlPIGeZGy3lYlcEy9+wppONsOKXJjPx1xEmk42xR57S2GvOY+j6z/3H0T4wgnpzfqPnRIzjPNmiVLLZzh7HFK3RazWarR9e4tnX7XrpWGV3v2wNdfwwsvSLuOkBBZk7R2rXxNj2HAyZMyFerFMp0hunbtGkWKFCEhIYH777+fgwcPAiTPMqT8qrxD9+7d6d69O9evX+eDDz5g5syZnDp1itjYWD766CM++eQTWrduzYMPPkjfvn3Jnz9/FozKzO2V1jYDtZO2wUj63T5sM0irkWav65O2D5C0vFrYZpAaA4VvYww5WN26jpe//FIS2xctkjyOl16Cnj0hIMAz41NK3aL0ZpTsT3DG4thwNuWM0suAtUDLf8A7OKbgWWeUwkm7N132b9R94AD88otkD+3YIftq1JCJ91KlJLsorXPKJpNc37hxlg5XKRuzWfoaVa0KffrIPotF1iRNmmQr9Z0RZ6dCPSTTGaLAwEAWLFhAkSJF6N+/P/ny5cuKcSkXyZUrF2+99RYnT57kyJEjDB48mPvuuw+LxcKSJUsYMmQIBQoUoGrVqkyfPj3TwhnexYSkbzwLfI+cwTyCrEn6H3An8qa7HVnH9DBSpKEqcqbTeht1Sx5+WIKgvHnlzFHfvlKM4dNPZWpdKeXj7E90VkZm3Y+TekapLXCv3bE7kcbcz+E4o9Qc6Ev6jbpBGnVnr+I5n3wigU/lyvD66xIMmc3QqhUMHCgBz8SJcmzKc8vWyxMmeHW2kcqJzGY5GWrtkZQZL5/izDQgCggIoGXLluTKlYvevXtTuHBhpk+fTlRUFNOnT+fSpUsOX3WmyHuVK1eOCRMmsG7dOvbv38+QIUMwm80YhsE///zDs88+S3BwMC1btmTdunWeHu4tMAHlkDfcmcBB5Kzjj8AA4O6k4/4BpgGPA3ekcRtN+3RK8eJSdOHECSndXbSofD94sFSWuXzZ0yNUWcRigdWrTaxZU5LVq02ZFiNSvs46o9QPGIcESp3tri+BY+odyGzSKiCD1JrkRt1rXDnYLLd/v+NMz5YtsGuXVIVr3Rq++ALOnpUOB888I1nIXbvKzFHKfuulSvnEenSVkzVuLE/U9D7/m0xQurTXT3E6XXY7ISEBwzB48MEH+euvv2jbti3r16+nZcuWDl91DZFvqFSpEp988klyCl358uUBiI+P588//+T++++nXLlyfP3111zNKDfU65UAHgUmIw0NzwMLgOFAPSQN7xjwDfAUUCmN2/jSrJkH5M8PL78Mx47JtHmFClKu0z4N89IlDw1OuZu10mqrVv6MH1+XVq38fanSqnKLu5BAaTHy+hoNbEJm853RHkmvHopUx/NuhiEBz6hRklFUpQrstltSNXCgZBj/+y/89hs8+WTard26dpWX0ZUrYfZs+Xr0qAZDysuZzdliitOpKnMLFy7krbfewjAM3n///XSPS0hIoEyZMuler7yPv78/w4cPZ/jw4Zw9e5Y33niDOXPmcPnyZY4dO0a/fv0YOHAgrVu35t5776VChQqeHvJtKgg8lLSBvFGvx7YOaSNwFvg5aQMIw7FZbG20p3EagoPh2WfhqaccA6Bjx2SB5iOPSIqd1o3NNrJBpVWVJfIgJ6CuIbPzmbmOrAldDXRC0pwBfkPWGFnXktYEcrt6sE4xDPj7b3mO//KLrA+yCgyU66pXl8sNG8rmDLMZmjVz+XCVci/rFOfgwY415EuVkmDIB94IMv1Ud+nSJfr27UvRokW5evUqxYoVS/fYuLg4nnnmGZcOUGWdYsWKMWPGDGbMmMHatWv5888/+e677zh06BDh4eGEh4fj5+dHgwYNGDVqFK1bt/b0kF0gL/Bg0gaycHgTtgBpHXAJ+DVpA3lzb4gtQKoHBGfdkL2d2ex4+vPXXyE2Fr75RraOHWHkSLj/fs+NUd22zJpJ+kilVZWlrI26T5N2arIJKInM4u9E1n/Wsrv+DyS12f74StgCpCfIqqI5K1dCixa2y0FB0KaNdCvo0AF0ubXKcbp2lRf8iAgpoFC8uKTJ+cgbQKYBUVhYGJGRkSxYsID333+f3bt3U7RoURo0aJAqPc5isTiU6Fa+q1GjRjRq1IhRo0axfv16nn/+ebZt20ZiYiLr1q2jTZs25MmTh4ceeoj333+fsmXLenrILhKMLdABiEfelK0BUgRwGfg9aQMIQhYUW293HxI0KUBKdN53n6w3Cg+XMt0LF0pA9PLL0gg2jUbPyrtl1kzSWmn122+hc2f5gKhLTHM6Zxp1TwTuSdr6pbh9J+Q1envSFgnsT9p+REp4W/2ApNtZg6WyOBaJcI5hyBqgOXOgSBEYPlz2N24MJUrAvfdKENS+vfarVsqXpzidyvsJCgrikUce4ZFHHmHmzJmMGDGCoKAgZsyYQR5t0pitmUwmGjZsyNatW/n333956qmn2LBhA+fPn+fq1avMnj2b2bNn061bN5544gkefPBB/P3TflrFxcUxZcoUDh8+TIUKFRgwYACBgYFZ/BvdrABs5WhfRNYT7cYWIK1BFgtbvwd5078HW4DUiBzf7b1ePflEceAAjBsnM0V//QW9esmn5vROp1osPnu2KbtztoLqE0/IliuXfIAsWVK+jhsn2RQgKXbXr8v+EO2rnM0526g7LY2TNqt/sQVHB5DZJaufkJkmq/zIbFMtJEDqgfS6S80wYNMmW4ns48dlf9myMGyYBPYBAbI/nbc7pZSPuenTsk8++STbt2+nfv36GgzlMAUKFOCpp57izJkzbN++nfbt2xMUFATAnDlzaN++PSVLluT+++9nzpw5Drd96aWXCAkJYejQoUyaNImhQ4cSEhLCSy+95Ilf5Tb4ATWAQcgaI+sZyi+APshZSAuwGfgYOaNZMI3b5FCVKsGMGbJSeMQI2azBkGHA99/bSnZbV+s3by6BU/Pm6Gp97+FsBVXr28T163D4MKxZAz/+6BjXjh8PFStC7txSi6NqVekH3KePTCL+95/t2KtXIS7OZb+G8ohbadSdlqJAG+AVpAS4/QxQN6T9Qm3kxNZlpMrdBKTtgv2JlZn4+U0lLGwfH310nTJloEED+PhjCXpCQmQJ5IcfOvag1mBIqezjlv6dy5Qpw9ChQ109FuVDatWqxaJFi0hMTGTTpk38+OOPfP/995w7d45z586xbt06cuXKRevWrQkLC+Orr75KdR8Wi4Vx48YB8OGHH2b1r+Ai1hz2SsCTSftOIKl11lmjfUi1ul1I5TqAithmkJpgK02bQ5QoIZ8u7K1aBY8/DgULSnL+L7/oan0vZRjy58qItZnk0aMSwERGwpkzsp0+LelHVomJEgxduwZXrsj2zz+26wcPtn0/apT0dSlcWJ5G9lvJktCjh67f8A2326g7M48nbQBxSLsF62xSHGAmMRHWr4eGDcdjNu+lSRNo1OgVunSpxK5dtYmPr03p0nWpU+cBnblUKpu7qYCodevWBAcHkytXLoKDg1N9X6JECbp3705++3K7KluzFllo0KAB48aNY/LkyYwbN44zZ85w/fp15s+fn+l9jB8/nvfee88H0uecdQfwWNIGktaxFluA9DfS7+ggtgXCpTGbG1GmTH6gPNIzKYctuLh+HcqXhyNH4Oef0z5GV+t73PXr8L//ySyPlcnkGLumrLSaK5f8aZOq+6fyyScySxQd7Rg0Wb+3D57OnpWv//0n299/O95Xp062gOill6R8ccrAybo1bSpjU9ldIFKRriYWSz/WrpVzKnPnQmSkwfHj3ShVajNxcRsIDr5ElSr7qVLFui6pKrDH7r4+Rxp83/q6JKWU97mpgGjHjh288847xMXFpdqio6OZMGECq1at4vvvv3fXeJUXCwgIYMiQIQwZMoSDBw/y2muvMX/+fOLj4zO8ncViYcqUKQwZMiRrBprligIPJ20gqRt/YQuQtgAn8fP7gVq1AKYilZLsZ5Cq45jikQ21awcPPgjvvAPvvpv+cdbV+qNGSS3bsDDHLSmNU7nHX39JMOTvD1OnQoECrqm0ajLJovTQUOnjkp7vv4dPP7UFSym3wnZFxk6ckMDq9Om07+vsWVtA9P77sGSJ4zon++3OOzVFyldZLJKqOWeOZNxag2qA0FATa9a8zaOPxrNs2RLatatDQMBubLNJ5ezvCRiGlAWH1OuS6gMZPHmdGy2SYRAJFEfWTGXz136lvMBNvbyHhoby7LO2xmqrVq3iv//+o3v37gDcd999DLbPbVA5VsWKFfn55595/vnnmTRpUqbHr1q1KhsHRCnlRxoPtk+6fA3YgMWykosXF1Co0CFMpv+AuUkbQD6kOIM1QLqH9BYE+zR/f+lZ5IzRo9PeX6aM9D6yevVVOHUKv3z5qPzff/gdPixlwfPnl6/ONghRgKztmTgRatSwFRPq1AlWrkxg6dIdtG1bi+bN/d02eWcyyZ+tUCEZQ0Y++0yWqdnPNllnn86edQyedu6EdevSv69//7XNVE2eLMemFTgVL66zTt5m0yZ44AHb5fz55Tnbvbs8n4OCwHberihS4KFNGvd0FeiJBEq7sa1LWpV0fSdgftL3BjADme13tl9SOGkXm5jIza+vUkrdjJsKiEx2NVN//vln7rjjDoYPH069evUoW7YshQsXpkOHDi4fpPJdzjZyXbBgAYGBgVSrVo1HHnmE5557LgelXuYGWpCY2IR16+rRrl0LAgL+xjaD9BdwBen6vjjpNiFAA2wB0r1J+7IBZ1fr33OPfDq+dEm2y5dl9ig4RU+oxYth507MJJ27/ekn23VFisgnXavWrSUHK3/+1DNPRYrIrJTVnj1y6tl6fe7c2bau9IIFULs23HGHXH7hBcfrzWZo2tTg2rXTNG1a02syGQsXlq1OncyPff11+YCc1qzTuXOOrbVWr5Ylbuk5d84WbM2eLU8V+3VOJUpA0aJSqUy5Tny8rG375RdZijhmjOy/914JnuvWlSWILVpI89Sblw9bmnPKdUk7kJNWVqcB6wlk+35JtZK+1kEK7liFI4UgUvZnOp20fw4aFCnlPpkGRIZh8OqrrzJw4MDkfa+++iq//PIL4eHhfPjhh/Ts2ZOIiAiaNGlCkyZNMrg3ldMMGDCAF198EYvFkumx8fHx7Nixgx07dvD666/Trl072rVrR9u2bbNRnyNnBAH3J22vAAnIuiNrH6Q1wAVgRdIGUkWpHrYAqSHy5u2DGjeWnKvTp9Pu+mldrb9pk+MaosREiIqSRS72Xn0VTpzAcv48J3bupEzevPhduSJBVFiY47GRkRIg2QdJVikDogEDJA/Hyt/fFhwVLep43fffy32nDLKsgVdoqFcGU4YhHypfew1q1oS1a21V4xxYLJhWr6bkmjWYcueWioDeEhU5qXp12ZzxzDPyITutmSeLRT6MW82bJ6laKZlM8pT65x/b03DpUkk9tA+eChXSNl0ZiYuDFSvkMZ43Dy5elP2FC0vmrb+/PH47drj6X8y2Lil1vySQmf92pN0vCWA48FHS95eBZ0i7Wa2BBFRDkBko3/q/yra0JUS2k2lAdOnSJfbv30/NmjVJTEzkl19+oUGDBgwfPpyCBQtSvXp1vvnmG1588UUmTJiQBUNWviQwMJBhw4YlV5NLy4gRI3jhhRf47LPPWLBgAQcPHiQxMZFFixaxaNEiAIKDg7n77rvp0aMHzz77bA4r+e6PnE2sAwxFeiHtwzaDtBo4A6xL2sYi5cFrYQuQGgOF8Alms+RkdeuW+Wp9e35+EmCknFl89FEAEuPj2blkCaXatcMvvVPzS5fC+fO2WSfrzNOlS6lP5+fPL5+6Ll2ChATZrCv9L192PHb6dMcAyV5AANy4Ybs8YoTMUqUMmqzbww/bPiHHxEi+jxveiGNj4amnJJYDKUCQcvINkEUZgwfjf+oUdUGqI5QqJX/DbFoJsGVL2VIyDInJ7QOYhx6CYsUcg6fISHm6XLzoWBFv5kxZ6G/P318+bxUvbmboUNtb9qZNUo3PGjzlz++VMbVbvfGGpC9eumTbV7iwPO2sLx9WWf/YVMY2o2/tl7QD24yS/bTlV8hJrvQYwEnkhFgzF49T3bSk17xUCyez8WtejmA46caNG8Yvv/xi3H///UbFihWNFStWJF+3f/9+47nnnnP2rtziypUrBmCcP3/eo+PIzuLi4oz58+cbcXFxN33bESNGGGaz2UBe2Q3AMJvNxogRI1Ida7FYjPXr1xtjxowxGjdubPj5+TncDjBKlChh9OnTx9i8ebMrfjWvcOuPb6JhGIcNw/jKMIwnDMOoYBgGaWxVDcPobxjGbMMwTrlo1G40d65hlCplGPI5U7bSpWX/Lbid52+GEhMN4+pVwzh50jB27jSM1asNY/lyx2PGjjWMxx83jPbtDaNhQ8O46y7DKFbMMIKCDKNIEcdjmzRx/J3tt4AA+XlWnToZhslkGPnyGUbZsoZRu7ZhPPCAYTz8sGE89ZRhxMfbjt240TCWLTOMTZsM4+BBwzh/3jASEtL8lc6eNYz77pMfaTYbxtSp6fzuc+fKz085TpNJtlv8W2V3Foth/PuvYeza5bj/gw8Mo0MHw7jnHsMoWtTxoQ0ISDTmzbM9fx9+2PEhz5XLMCpUMIzGjQ3j0UcNIybGdr8HDxrGgQPyNPVVsbGGsXChfLUaOVJ+96JFDeO55wxjxQrHp/zNcNvrg1NeNtJ+zU65zfbA2FzDs4+vC3npa162eXxdzBobXLlyJdNjTYaRVk5KusETX375JWFhYRQpUoRGjRoRExPDb7/9RlcPR8VRUVHky5eP8+fPU9A+X0G5THx8PEuWLKFdu3YE3ELye1xcHFOmTOHw4cNUqFCBAQMGOFVq+/jx40yYMIGFCxdy9OhREu074wElS5akd+/etGvXjvvuuw9/Hy0FdbuPr6PTOPZC2pPGMeVxrGRXHq8rIevCtATXPr4udOOGY2W8NWukG6T9LJV1pgpkQY9Vs2ayoCUt1pkn66nxzp0db2sVGiozT/v2QXAwO3fCN82/otjFPcQGh9Ht6TCq3JdipurOO+W2Zcs6niW1Z9+ISFNJbkl8vGRvyjqmBCyWxcnP36FD4Y8/5DprmphVYKDM8Fn/9A8/bOtnHBqaej3TO+/Y1tRcuiSNSN1drNGZf+3YWFi2TNYELVwos2+LF0tBSpAK/SdPQqNGt/8U8+zrwyqguRPHrQRigGVI0YdmgG9U8PDa19+bYbF47Wtetnh83cAaG1y5coXQ0NAMj73pogrPPvss8fHxyQUWQkJCGD58OPfeey8lS5a89VGrbC8wMPCWKsmVKVOGTz75hE8++YSEhAR++OEHZs2axaZNm7h69SqnT59m7NixjB07lpCQEAoUKEDr1q0ZPHgw1Z1dFJDtlAR6JG0A53HshbQdOJK0zUo6pgS29LomSP8NDy9eMJttpcyyq5SfPG9mHeayZalT+6ybfTAEUn2vRg3b9Vevyv6oKPnkGRSEYUjBhCEXF9CZBRALfJa02bt6FTZvTv+DAdjKo//xhxSrAPjtt+TAi+Bg+d2t3wcHS8U/6+Nx8aItWLQem8MCq4AA+XxVqhTExxssWWK77pNPbN9fv+7Y+DYqyvFP7+9va3wbFSXbvn1yXVCQrfgAwJNPylqcQoVSN70tUULSKK3nnKxtwW5WRhlHbdvK08QaBFmfpiBjsM9Gzai3lW9pDDEFIfhC2i+5iUBsQQhpDDwBfAt8CgQDTZHgqA2SpudlJ7VA/o+vXSMgOtq2PjM+3lbar1Il27E7dsCFC7br7TeTCR57zHbsL7/AoUNpH5uYCPYVbseNk9KQKY9LSJCv69fb0qIHD5bc1fTuNz3W17yIiOz/vpUNORUQtWjRgpCQEEwmE4Zh0KlTJ4fr4+LiCA8P5/nnn3fLIJWy8vf3p3fv3vTu3RuA/fv3s2XLFpYuXcpvv/3GhQsXiImJYebMmcycOZOQkBDq1KnD448/Tr9+/bJR89ebVQjonLQBRCHrjawB0mZkHdKP2Bb9FsAWHDVB1iT55uxbthUUJAtUihXL/NiJEx0vx8fbgqjoaDCZMAHffQcLHulObJ2KBF+/lHqm6to1mUKIjHRujPZNX374Ab75Jv1j7Wtbv/EGTJnieH1AgC042rJFgjyQDz4//ugYXNkHXK+/bqteuG6d3Dblsdatdm3Im1eOjY6WdVrW+woK8sqFOpk1vrUWVrQ2vrVfz3T9uuOvdO6cfD1/XradO23XBQeDXecNuneXz5HpNb5t3Tp1QYjw8KT1PYaFpkRQnEgiKc7aU43p1s3M+PEwdKjt+NKl5fhu3aBBg2xaYMKCVNuehgQ/9r+j9fP3EKRFnfkxOB8DeddC0L/IbNEyYChcKwrbv4ZGrW23/+oriSrtP/xbtxIlwK5gFi++KP+DKY+Lj5cSkzNn2o7t2BEOHkw7wChdGnbtsh17330EbN9Ou7R+96JFHV8jXnhBAoq05M7tGBB9+aVEz+n57DPbk3vjRsioUXx8vC0gunw5/eZlzhg5Evr0kaCoalWvfM1QqTn16eaRRx4hODgYwzBYunQpDz/8sMP1VatWTe45o1RWqly5MpUrV+axxx7DYrHwzTff8NVXX7F161ZiYmKIiYkhIiKCiIgI+vfvT7du3ejUqROtW7emkH0d3RwnFNtZRZBGg5uwBUjrgIvAgqQNIA9S+c4aINVDKuIpnxQQAIULcyO0MMuXg7VhQqlSMHDdY8BjGd3a+fLopUvbvm/QQD54xMbKduOG7fvYWAm0rBIT5dOv/RlZ64eu6GjHIhcHD0rH2PQMHmwb7+LF6fewAti6VUq6gwRar77qeL39rNaCBVJuDuRs9aRJqWe9rJcHDrR1nN29W+pDpxeUVa0qHW9BIparV8FsxpSQkHblRSflzQuVK8uWnogImZxLq/x4QoLjZ7uTJ23XpRQcLLGkVf/+Uivk77+hsxHORAZT2q7fzklKMcSYyPjxXXnwQan417071KvnRUFQYqIEDDExsl2/7vi1ZEl5joM8t99/P+3jYmLg/vvh7bfl2FWr4IsLUldhImD3L8MpJBiadwF6RUCz1nBHF7mvu7C9jDcFDv4Lr42G1daAaCScmARzY8AuPklWp45jQDRnjqTrpiVlt+QjR2D//rSPTZmalDKFKyDAtllPPliVL28rYpNys399AGnkXaKEXOfvn/p4+ynMp5+GVq3SPs7f37EO+5tvymtGyuM2bZInZWY2bZItOFiCK+us93//ydSrBkhe6abWEAH4+fkRHx+P2S514cqVKxQoUIDdu3dzl7NNFV1M1xC5n6/lqO7atYtPP/2UZcuWcfLkSYfrTCYTRYsW5a677qJfv3706tXL42uPvOvxjQe2YQuQIpBeSPaCcOyFdB/ONR/0DO96fL3Df//J+pKICPkslOJcV8as+fSZlUe/3Xz6hATHoMkaRFWubMvd2rVLgqL0Aq0hQ2y1rX/8Uc4U219vf5tff4WKFeXYd96RD0fp2bgR6teX78eNg5deSv/YP/+0dQedOlXKtqdnwQIpTwfw7bdytjmJYTJhsg+epk6VLqMg68neeiv9mbJevWzjPX4clixJ/9gKFeTsPUht6+ho2zFJf89//5W0t5Slx8+ckSAmqUgoID9282boQjhzkvrtOE6EyIfEbszhhZVdncs4SkiwBRpBQbYKk9euSY349IKR+vWhfVJj7P/+g6eeIjEmhkunT1MgOBjT9eu24x97zJafeOGCY0OqlB57TKZYrY9ZRguxHnrItqbvhx/kbwMyO9QYKI5U647ANks0ezb07CkB8/Xrjh/o8/pBSQMKNkyaWb2GzPLHyW0v5oLdJWHvHXCwLCTkkRnWYcNsY/r8cwm+7e/X+n1YmO0xA3nu37iRdoARHGxrWpb094i3WFj6xx+07dCBAF/N1HDmNa9wYRg0SNaCBgdL3qdV9eryfGvWzLZVruySAEnf39LmtjVEAOvXr3cIhiIjIylevDjffvstpe3PBCrlYdWrV2fGjBkAxMbGsnjxYrZu3cqSJUv4+++/OXv2LGfPnmXlypX069eP8uXL06FDBwYPHky5cuU8PHpPC0Cavd4LjEByOnZjC5DWAOeQkt/WRf3W8uDWAOl+IEWfH+U19uyRrJejR+WE7k1Xsr/V8ug3y99fBpfRAG+miVCPHrI5Y9QoSd2zn9WyD57sG0936gTlyqV9XGysYz5buXLyuKUXwNmXjo+LcxiSyTDkw7C135Z9j7fISJltSM8999gCop07Mw7KJk+2Xb9unfSWsjKbITiYoklbnVGj4Nln5Lp//pEPhMHB8LAt0FpUNpi98QFU3fE9KYMhAD8MDOAb+nD+1V+g2A145BHb32r/fllgZB/cJCTY7mDkSBg7Vr4/exbatCFdAwfaPtwnJsKvv+KHY5vUZPYVK3LlkkgvJES+Dwlx/N4aSIMEBoMGyXXW6+1vY033BMfZ1kRsL6kpWY/buzf93y2ZAXwMLAVWQoHr0OSQbJiRHL1hjjfp39+J+01inRl1Ru7cEB+PYTb79uyIM695U6faSm/bXx8VBYcPy3P3p59seazFiklg1LlzcosI5Rk3HRDda/dPEBMTQ6VKlYiOjqaX9eyGUl4oODiYhx9+mIcffpjRo0dz8OBB3nvvPf744w/OnDmDYRgcPnyYiRMnMnHiREqWLMnAgQNp164dNWrUSC4iknOZsTUhfB55sz2AYy+kk8DGpG0csri3Bo69kIpm9cBVGpYulffe6Gj5nL5oEdzS5H7XrjK1lNYK+QkTskdPDpNJ0mkCA1OnAtmrVMlxcXhG2rTJ+AO7vSefhCeeIP7aNX7/9VcebNKEAIvFFkjZf7Bu2FA+aKWc/bJuNWrYji1SRP4+6QVl9pkWsbGOY7JYZBbm2rXU11+4IJ1SUyiStGXEBOThGnnWJ61jrFrV7kqTRO/psS7QB0nDqlXLMQixD0bsC5fkzw/TppEQGMi2f/7hnkaN8M+b13Yb+xmhXLlS5w2m+8uYZA2LM5xtRt24sXP3B0iK86CkLRaZaloK/Ab8g2Ne3hlgJJJ79yBQ+CZ+Tg5zM6959s+T0FBJBdy0CVaulBMX69ZJ8G5d/2gNiCwWWfvVtKlU9Mzxnz+yRqYpc7GxsTRo0IBt27bx6quv8swzz1A+6UyXxWKhUKFCXLLviuYhmjLnftl1Svbq1atMnz6dH374gV27dnHDvkkmULRoUfLly0enTp144YUXKFWqlFvG4fuP73EcZ5AOpHFMZRwDpDJpHGPPgryRRyI5JI251U7tvv/43j7DkBOcw4fLifGmTaWY0m2/ZFosJKxcyY6lS6nVti3+zZvnuIpw7ubx529CggRNKQOn2FhZO2NNrzt3TtID0zguces2/BYtzPjnAImPPY5fo/tljUu9erIzNlYqkKUMcnLlkg+Tt/mh0eOPr7XaBKQ98zBnjgtPMBxDAiZrsPcV8D/rDwTqIsFRW6A+t/qaa8/jj6+ruaIlRGyspB6uWiVrz6zVOLdtk+c+yP9Ws2YyQ9usmZzBSuO5nu0eXxe5mZS5TBuzJiYmGgUKFDCOHz9uNGrUyAgKCjJefPFFIzo62jAMwyhcuPCt9ktyKW3M6n45pfFXRESE8dFHHxkdO3Y0QkJCUjWFzZ8/v9G+fXtj/vz5hsVicdnPzX6Pb6RhGD8bhjHIMIwahrQ9S9lo8A7DMB43DGO6YRj7DGkyazXXMIxSKY4vlbT/5mW/x/fmrVlj6yP45JOGceOG6+5bH1/3yhaP78qV6Tcdtt9WrszyoXnF4+viZtTO22kYxkjDMGoaqV+jwwzDiLjtn+AVj6+v+OsvadAdGJj6f6N0acOYMyfVTfTxTdvNNGbNtHaLyWTCbDZzxx13EBERwR9//MGff/5JlSpVuHDhAsZtVLxRyhs1atSI4cOH8+uvv3LhwgUmT55MrVq1ks+6XL58mcWLF9O5c2cCAwPp1q0bCxcu5Jo1fUQlKQZ0R5rY/I2UUFqIrEm6FznreAL4DngGqGJ3m6eAbmBXhUqcTtof7v7hZ0ONG0tl3Y8/hhkzHAsrKeV2SalhRjq9cgxMUpXwplLDspGuXeHYMUmpmj1bvh49mgWpp9WBscAO5DX2S+ARID9wGXlttvoaeAVJk7ZLU1Su07ChFEi5fFlmW19/XboPBwRIaUdrBUqQPm99+2L65htyWXs8qVty02uIGjVqxJYtW1i3bh0FCxbUtRUqWwsODmbAgAEMSFpc/OeffzJ16lRWr17N+fPnsVgszJ07l7lz5xIYGEjlypWpUKEC/fv3p1WrVvh5Tb1YbxCGFHe2Fni+CmzAlmK3ASnUMCeD+zCQlI4hQCdckcqR3e3fL++fhZOWBYwb59nxqBwsaVG6qVs3DExSICKJkdQHyyWFOHyZx5tRl0Cavz4BJAB7sKXWgQRLa5AAKi/QElvt7ztQLpQrl1SmtFanjImRdUf33Wc7ZtEi+OYb/L/5hgcBY8wYWwW75s0dq/2pDDkVEF29epVhw4al2h8eHs61a9eSr7NYLMTGxjJt2jTXjlIpL9GiRQtatGgBwPnz55k1axbHjh1jyZIlHD16lF27drFr1y7mz5+Pv78/VatW5eGHH2bQoEEUsD+ro5Ac9pZJG8ANpEHsLGBmOrcBCYpOImuLmrlveNnA779Loa7q1eVEYkZVgJXKEkmL0k0pFqWbslMhjmzDHymkY28AEvgsA/4D5iVtIOuNNkA6M4DqNoWEQMuWjvt69IDcuUlcsQI2b8bv2DGYNUs2kBnGsmXl+9hYWW+n0uT0DFF6qXFGUqKp9ftE+yZ6SmVjhQoV4sUXXwTkuX/gwAFefvll1qxZw8WLF0lISGDnzp3s3LmTN998k+LFi/Paa6/Rtm3b5MIkyl4Q0AgJdjIKiKx2owFR+iZNkvY7Foskn1+7pgGR8hJdu0qZ8ttdlK484NGkLRHpVfdb0rYeSXm2D4aeQSqNtiHzAjrqljRoAA0aYImPZ9ncubTJmxf/tWulUMO5c45VKHv1ks7I1gINzZtL0QYFOBkQ5cmTh0+sjcmQynMXL16kRIkSfPfddw7XKZUTmUwmKleuzLx5cqYsMjKSzz77jPnz53PgwAEsFguRkZEMGjQIgMqVK1OgQAE6d+5M//79M69+kqMUz/wQQNLmtgEv4ZjjnrPFx0sgNGWKXO7bF6ZN02BIeRmPp4ap2+OHVKOrC7wOXErarI4AM5Iv+ftXoHr1ykkF0lrizU28fZUlVy6MBx+09diKj7dVpDMM+OsvCZKOHIGZSScd77xTAqNWraB7d88M3Evc9AKHhQsXctddd9G+fXsS7JuiKaWSFS9enNGjR7N3717i4uKYO3cugwcPpmnTpvj7+7N//37Wr1/PyJEjyZcvH8WLF6dPnz7s27fP00P3Ao2BUmScdhGElOT+CqgKPIyk2+Vsly5Bu3YSDJlM8MEH0s5CgyGllHuFAfaZD3mAD4DmQAAm02HKl1+Cv39noACgJ9Ldzr78tskEBw/C4sVSWaduXWkyfOiQVNiZONHxtkuXyuxtDuJUQGQYBnFxcfTu3ZtHHnmE3r17s3LlSvz9/bWoglKZ8PPzo2vXrkyYMIFVq1Zx/vx5PvvsMypWrJhcdOHs2bP8+OOPvPzyy+TNm5cuXbqwevVq4uNzYhUfM2B9cU75+mJK2mYjKRqdkDVF4Uj+ekvgj6R9OU/v3rJWKHdumDcPXnpJe/oppTyhCDJ7vwK4QELCHI4ebY1h3AHEAWXtjt0GPIusRYrK6oHmHKGhcsZs3DjYvBkuXoSFC6UxXe/etuMuX5ZZphIlpGP3c89Jw+ezZzP/GRaLpOv98IN8tVjc9Mu4XqYBUWxsLDdu3CAwMJB69eqxY8cO3nnnHfLnz58Fw1Mq+8mXLx+DBg3iwIEDxMXFMXv2bFq2bEnevHkBuHHjBvPnz6dZs2YUKlSIBx98kCeeeILt27d7eORZqStSbS5lfnOppP1dgQbAfGQtUR8kkPoTaIUER+FInnvO8dFHUKOGZEZ06uTp0SilFEBeDOMhdu58joSEg8A/wIN21y8ApiOv6wWRtaFjkXYNOfPkVpbIlw86dJA3jmefte0/cwZq1ZKzafv2weefS/GG4sWhalVJO0hLeLgUcGjeXNYrNW8ul8N9o01GpmuIgoODOXbsGAAvvPCCw3WxsbHExsa6ZWBK5QRms5mePXvSs2dP4uPjmTlzJrt27eLSpUv88ccf/PfffyxfvhyAWbNmkStXLmrXrs3jjz/OE088QXC2rhjTFZkBigAikbVFjUldarsa0hvjHeBj4AtgC5JGVxkYCTxGdq18tG8fVElaQlWlCmzfLpkQSinlfUykXvPZGul3tBQ4iPQ4Wo30OyqOvAdUyLoh5nRVq8K2bZKDvWaNzPSsWiUFGf75R9YmWR04AJ9+KiXCP/5Y1irZO30aunWDOXO8voKkU2+b6ZULDgoKYuvWrS4dkFI5WfHixZkwYQKzZ8/m7NmzbNq0iY4dO5I7tyxAvX79OuvWrWPAgAGEhIRQpkwZpkyZwrlz5zw8cncxI2cLeyZ9zagKVRngU+A4ssg3P7Af+B9QAT+/TzGbr7txrFkrIUGKJ1SvDitW2PZrMKSU8i0NkTTpA8AhYDLSry4EiMWxQt3HwLvImtGclQGQ5cLCJNXgk0/kTNv585KL3bGj7Zjff4fJk2WWKa1q1NZ91pKnXuy23jpNJhMVK1Z01ViUUnb8/PyoV68ev/76K1evXmXPnj08++yz3HHHHZhMJgzD4MSJEwwcOJBixYpRv359evbsycyZM4mLi/P08D2oMPKGeRwYh5xhPIXZ/CIPPvgMfn7vAhc8OcDbduUKPPSQrINNSIAdOzw9IqWUcoUKSK+jhcBFZKbImsxkAJ8Bo5C06KLA48B3SFNv5VYFCkDnzpI6Z1W3LnTpkvHtDANOnpQy+15MzyUq5SOqVq3K559/zvHjx7l+/Tqff/45Xbt25Z577sEwDDZv/n97dx4XVdU/cPwzDPsOAoKioCDuZrmvWbllmqbmY1ammUuWa+mTLc9T2WKaW675y7LdzK3MLDU1zSdbNDXSVFBcEEMWQfZh5v7+ODCCbIMyDMj3/XrNC+beM/eee7wO851zzvf8xtq1a3niiSdwdnamYcOGTJo0iVOnTtm66jbiCTyLSv+6Ck0Lx9HxKnr9bNQ3jtOBC6UdoEqKjlYLlW/bpkYpfPklFLNuthBCVHNOQMsCz03AC6jh1J5AAvAp8CgqOKrZaaNtomNHy9N1V/GsdTYNiJ577jkGFOh6i4yMpF27dvj4+DBjxowSF4MVoqZzcnJi/PjxbNiwgYMHD3Lx4kWWLVtG3bxF1jRN48yZMyxdupSIiAg8PT0ZNGgQhw4dqoGLJzsDY8nN/ZPffnsWTbsNSEelfW0IjEENrav69u6FDh3UMO66ddUXbkOH2rpWQghRGfTAWGADKhjai5pndHve/oJr2OWgeo/eB2IrsY41UJCFawdaWs5GbBYQRUZGsnz5chYtWgSozFoDBgygTZs2/P777xw7dow1a9bYqnpCVCtBQUFMnDiRCxcukJ6ezuLFi+nQoQNOeQvQXL16la+++oo2bdpQt25dHnvsMZ555hnOnj1r45pXJj0XL3YlN/dX1OTdOwED6g9mU2AoKhlD1XT0KPTsCYmJapTCr79Cmza2rpUQQtiCAyrJzhuotN1xqDTf+f6H6j0ag8pO2ipv/25UsCQqTLduEBxc8hoPOh3Uq6fKVWFlZpmzBk3TGD9+PFOnTiUsTGUO2bZtGykpKSxYsABXV1feeOMNnnrqKUaPHl3sMbKzs8nOzjY/T01VuesNBkMNXbvF+vLbVdrXOiqqfR0cHHjyySd58sknAfjll19YsWIFFy5c4ODBg1y6dImPPvoIgAULFuDp6UmnTp0YPXo0gwYNMq+NdKu51r65wD3APeh0B7Czm4ud3Teobx03YDLdg8k0E03rQVXKTNekCfzrX3qysuC994y4uhZO9mNr8v5gXdK+1iXta13Wb99a+WfK+1kHO7sX0em2o9P9hk73J/AnMA9Nc8dofBdNu3WG2Nn6/tXNn49++HDQ6dAVGN2l5QVJxrffRjOZoJJHqJSnPXSaDcalrVq1imnTprF06VL8/f3p06cPb7zxBr/88gvffvstoIKmWrVqkZSUVOwxXn75ZV555ZUi2z/77DNcXV2tWn8hqiuDwcCxY8fYunUrhw4dIjc3t9B+Ozs7goKC6NevH3fffTcuLi42qmnl8vA4S6NGm6hbdy92duoNOzm5EadODSEurj226kzPyLBHp9NwcVHZeXJzddjZaZJJTgghLOTgkEpAwGECAv4gIOAQzs4p7Nkzn5QU9YV8QMAhAgIO8c8/bUhMbIbJ5GTBUY3UqnUMZ+dksrJ8SExsRulZUG99QT//TMv33sMl8VrSogw/PyLHjCGuUyeb1CkjI4MRI0aQkpKCp6dnqWUrPSBKS0ujYcOG1KlThyFDhrB7924yMzPp3LkzWVlZLFu2zFzW39+fkydP4uPjU+Q4xfUQ1atXj7i4OGrVqlWkvLh5BoOBHTt20KtXLxwcHGxdnVuOLdp37969vPvuu+zZs4fLly8X2ufg4EC3bt24/fbb6dq1K/fee2+17j2yrH1jsLNbhJ3d++h0ao01TWuM0TgDTRsOOFZafWNi4IEH7GnQQOPLL43oq/jfWnl/sC5pX+uS9rWuqtO+JtSCr7eR/0WXXj8GO7uPAdA0FzTtTjStNyZTHyCc60cK6HSb0Ouno9Ndm5ukaXUxGhegaWVkXLOSKtO+RiO6n35SCRSCgtC6dsWWf7xSU1Px8/OzKCCq9CFzGzduJD09nV27duHr68usWbNo2bIl77//fpHhcc7OzmRkZBQbEDk5OZnnRxTk4OAgb2ZWJm1sXZXZvvfccw/33HMPAMnJySxfvpzNmzeTnJxMdHQ0u3btYteuXcyfPx97e3uaNGnC4MGDefrpp/H396+UOla00tu3EWoNjP+i1jRaik53Anv7J4BXgGeAJwA3q9Zx/36VyfTyZUhK0nHpkh2hoVY9ZYWR9wfrkva1Lmlf66oa7dv+uucjUBnttqHTxaLTfQd8l/c5viEqgHLPK7sRGI5KAX6NTncRe/vhwHpUFjzbsHn7Ojioya5VRHnaotK/7r1w4QIdOnQwL/Zqb29Pq1atyMrKKvIN9dWrV3F0rLxvZIWoyXx8fHjhhRf47bffiIqK4uTJkyxevJigvMwwubm5REZG8uqrrxIQEICfnx9Dhgy5RdN6BwCvAeeAuUAgcB6YikrZ/SpqjYyK99FHcPfdKhi6/XaVPKG6BENCCFH99AX+D/Uer+YZwd2oxA2uXAuGjMAorg+GlPxtU/PKieqm0gOievXqkZlZeLX4s2fPMn/+fA4cOGDeFhMTQ3Z2tjlwEkJUrkaNGjF58mQuXrzIP//8w0svvUTz5s3R53V/JyYmsnHjRiIiIoiIiGDq1KksWbKEK1eu2LbiFcoTmAGcAVaivi1MRPUg1Uf1GFVMSleTCWbNgsceg5wcGDxYpdUODq6QwwshhCiVDmiBWr/uB9SXXusK7N8JXC3l9RoqqKraC5CK4lV6QHTfffdx/PhxVq5cyYULF3jnnXc4fPgwvXv3JiUlxZz9as6cOfTs2dP84UsIYTsBAQG8+uqrREZGkpOTw5YtW+jfvz9NmjTBwcGBU6dOsXjxYiZPnoyPjw+1a9dm+PDh/PTTT7auegVxBsaj1iv6HDX+PB1YADRADaM7eVNnmDgR5sxRv7/wglpw1c26I/OEEEKUyB21JEO+ixa+rmovQCqKV+kBka+vL9999x0ff/wxERERLFq0iLVr1xIeHs6qVauYMGECtWvXZv369czJ/3QghKgy7Ozs6N+/P1u2bOH48eMkJiayadMmBg8ebE66EB8fzxdffEG3bt1wcnKibdu2rFy5kpyc6r7+gz1q/PgfwLdAd1Sa19VAE9RK6Qdv6MhjxoC3N3zyCbz2GpJJTgghqpQGFpar2guQiuLZZB2ijh07sn///iLbBw0axKlTp/j999/p3LlztZ20LURN4uHhwaBBgxg0aBAmk4mNGzfy3nvv8fPPP5OamkpOTg4HDx7k4MGDzJgxg169etGjRw86depEu3btSj12Tk4Oy5cvJzo6mrCwMCZOnFhF5hXqgHvzHv8D5gBbUBNq1wO9UCuo96C0tYyuXgUPD/V7u3Yqs5yXl/VqLYQQ4kZ1Qy3yGkvx84h0efur9gKkonhV7jvIunXrMnDgQAmGhKiG7OzsGDp0KN999x0pKSnExMQwbdo0wsPDqVWrFmlpaWzatIkpU6bQvn17XFxc6NSpE0uWLCkyt3DmzJm4urqa1yybNm0arq6uzJw5s4Sz20pn4GvgKPAIai2KHahJuR2BzahUr4V9/rlKlnCwQIeSBENCCFFV6YHFeb9f/0VX/vNF1PT1iKqrKhcQCSFuHSEhISxYsIBTp04RHx/PwYMHmT17NnXq1AEgKyuLAwcOMHnyZFxdXalXrx5PPPEEY8eOZd68eRiNhbP1GI1G5s2bVwWDIoCWwMfAKeAp1LyjX4EHUBN1PwQMmEzwn//AiBGQlASrVtmswkIIIcplMGoUQN3rtgdzLeV2VmVXSlQACYiEEJXCzs6OO+64gxdffJHY2FhOnDjBU089RWhoKDqd+nbtwoULrF69mvfee6/UYy1YsKAKz0dqACwFYoDnAS/gODCKjIzm/Otfp5g9W5WcOROWL7dRNYUQQtyAwaj3993AZ3k/z+Rt34xaz+5vG9VN3CibzCESQoiIiAiWLl3K0qVLycnJ4eOPP+ajjz7i4MGDpKenl/pao9FISEgIt912G/fffz9+fn74+/uTlZVF3bp1adSoES4uLpV0JSWpDbwOzARWEhv7OQMHvsfBg41wcMhh1aptjBrVHSi68LQQQoiqTI+aI1qQCXgLuICaR7oftTyDqA4kIBJC2JyjoyNjxoxhzJgxTJo0iaVLl5b5mkuXLnHp0iW+//77YvfrdDrs7e1xdnbGzc0NPz8/GjduzMmTJ6lduzaJiYn4+voSFhZGREQEAQEBFX1ZebyIifk3nTvPJC5Oh59fIps2DaRr1/2otK7jgWkUHYIhhBCi+rBDJdfphuoh6oVak8haf1tERZKASAhRpYSFhVlULjQ0lKCgIIKCgrh8+TIJCQmcPHnSPO9I0zQMBgMGg4GrV69y6dIlIiMj2bBhQ4nH1Ov1ODo64u3tzd13342/vz/+/v7Exsbi7u5OSEgIDRo0IDw8nAYNGmBvb9lbaL160KaNjjNnYMsWLxo0eAq1wN9RYD6wBBiJ6k1qZNExhRBCVDV+wHagK2ptuntRQ+o8bVkpYQEJiIQQVcrEiRN59tlniyRUKEiv13PixIliU3Dn5ORw5swZTp06xZkzZzh37hwXL14kMzMTg8GAu7s7iYmJ/Pzzz2RmZhY6j9FoJDMzk8zMTD799NMy66rT6XBxcaFdu3b4+/vj5+fHhQsXcHJyIjAwiLp169GwYQhhYWGsXBmBh4cnnp72wEOo9Yy2AW8CPwHvodYzGgo8B9xRnmYTQghRJdRDZRrtChwC7ke919t6GLcojQREQogqxdHRkenTpzNv3rwSy0yfPr3E9YgcHR1p3LgxjRs3LrTdYDDw7bff0q9fPxwcHMzbTSYTly5d4tSpU5w+fZqzZ8+SlpZGYGCguefp+++/JyUlhezsbAwGg/m1mqaRkZHBjz/+aNG12dnZERoaau55unjxInq9Hn//jtSufYHg4AuEhHxJw4Zf0qhRd+rWfRmdrgelrWUkhBCiqokAvgPuAn4E3gWm2rJCogwSEAkhqpy5c+cCKptcwR4cvV7P9OnTzfsrgp2dHXXq1KFOnTrceeedFr0mLS2NU6dOER0dTUJCAt7e3iQkJHD58mU2bPiekyd9MRgygXh0ulNomgqiTCYTp0+f5vTp0xacZS+Ojnfj5+eAv39dkpKM6HQ6vL298fPzIyAggDp16lC/fn0aNmxIhw4dqFWrFnp95a+BkZOTw5IlS9i1axdRUVFMmjSpiiygK4QQtnIHak7RJmCyjesiyiIBkRCiSpo7dy6vvfYay5cvJzo6mrCwMCZOnFglPmi7u7tz++23c/vttxfa/scf8P77r2AwgK8vbNgAPXpAbm4uZ8+eJTY2Fr1ez+XLl7l8+TJfffUVcXFxJCcnc/XqVTIyMsjOzjYHgTk5cPGigYsXY8znOHfuXIn10ul0+Pr6kpOTg06nw83NDS8vL3x9fQkICCAwMJCQkBB69+5tzsx3s9n4Zs6cWShw/fbbb/n3v/9d4YGrEEJUP93zHvlMqB5/6fWvaiQgEkJUWY6OjkydOtXW1bDIpk3wyCOQkQFNmsCWLRAervbZ29sTFhZWJGHE2LFjSzzelStXSEmJIiFhGZcvr2Pr1gzOn4f4eEeSkrxJTbUjLS2drKwsNE0jNzcXTdNITEw0HyM1NZW4uLgix541a5b5dzs7O3Q6HU5OTri5ueHh4YGPjw9+fn7UrVuX+++/3zw/ys3NjaCgIOzs1BJ2M2fOLHZoY/4CuoAERUIIAUAO8BjQFPiPjesiricBkRBC3KRFi2DaNPV7797wxRfg7X1zx/T29sbbuy0hIR8Ai+jbdwWwEIjPe/ihstI9BfiQm5tLYmIily9fZvfu3Zw5c4aLFy8SHx9PQkICV65cIS0tDZPJhKurKwkJCRgMBkwmEwAZGRlkZGRw+fLlQvV4//33i9TNzs4Oe3v7MhfHnT9/Pq+++irOzs431xhCCFHtbQPW5v3uCzxtw7qI60lAJIQQN6l5c9DrYeJEWLAALMzGXQ5eqMxzU4A1wDzUyugvoRYCnIC9/TRq165D7dq1adGiRZlH1DSN1NRUDh06RHR0tHlI36VLl7h8+TLJyckYjUYCAgLMQ/zS0tIANReqrGAov5yLi4t5PSh3d3e8vb0JCgpiyJAhBAYGUrt2bXQ6nTmNen7vkxBC3FoGAi/nPSahFuV+2Ib1EQVJQCSEEDdA00CXNwy8Vy84ckQFRtblAjwJjAXWAXOAP4G3gXdQwzFmAuFlHkmn0+Hl5cVdd93FXXfdZdHZr1y5wqlTp4iKimLJkiX8/PPPFr0uNzeXtLQ00tLSuHTpEn///Te7d+8utqy9vT1OTk54eHjg7e1NYGAgQ4cOpXbt2ubgKSQkhLp160rwJISoZv4DJKLWnnsM9WVXf5vWSCgSEAkhRDn9+SeMHKmGxkVEqG3WD4YKsgdGoNYz+ha1ltF+4P8ovJbR7SUd4IZ4e3vTrl072rVrxz///GNRQPTkk09y2223cfr0ac6dO0dcXBxZWVnUqVOHf/75h0uXLnHmzBk0TQNU8JSbm0t6ero5eNqzZ0+xx9br9cX2POUHT6AW8A0ODpbgSQhRBeiARUAy8AnwIPA9hRMvCFuQgEgIIcphyxYYMQLS0tS8oa1bbVkbHXBf3uMnVI/RVlTv0TqgDzAL9ce2YrMaWbqA7qJFiyzKDBgfH8+xY8c4efIkp0+f5vz581y8eNEcPF26dIl//vmH06dPm4Mno9FIeno66enp/PPPP5w4ccKi4MnLy6tQ8BQYGAhASEgI9erVk+BJCGFFdsD7QAoqLfeDwGnAzZaVqvEkIBJCCAtoGsyfDzNnqt/vvhs+/tjWtSqoK/ANcBQVGH2B+ubxe6AjKjDqj/pjfPNudgHd6wUEBBAQEECPHj3KLJuQkMCxY8c4ceJEkeApKCiIf/75xxw85SeNuD54OnnyZIkL6uYHT25ubuaep8GDB5vnPIEKnurXry/BkxDiBjig3qOHAdORYMj2JCASQogy5OTAhAnwwQfq+fjxsGQJODjYtl7FawV8BryGSr7wAXAANaG3OfBvYDjqD/LNqcwFdAvy8/Oje/fudO9e9jCT/OApv+fp3LlzhXqe8oOn6OjoYoOn+Pj4MoMnJycn87C9wMDAQsP2NE0jNDSUkJAQCZ6EEAW4oHqIRFUgAZEQQpQiORkGDoR9+8DOTqXYfvrpawkVqq6GwArgv6gx68uBv4CRqOx0zwKPA643dZb8BXSXLFnCrl27uPvuu5k0aVKVWEAXyhc8JSUlFep5yg+esrOzC/U8RUVFFQqe8lOW5wdPe/fuLfb4+cHT9T1PBYOnkJAQGjRoIMGTEDXOMVQm0c9RyyqIyiQBkRBClMLVFUwm8PRUSRT69rV1jcorEDWE7jlUgLQIOItK+/oq6g/wU4D3DZ/B0dGRyZMnEx4eTr9+/XComl1nZfL19aVr16507dq1zLLJycmFep7Onj1bbPB06tSpYoOny5cvc+rUqRKDJzs7u0I9T7Vr1yYiIoLU1FSCg4MxGo2EhIQQFhYmwZMQ1Z6GSsF9GLgX+AHwtGWFahwJiIQQohROTrBpE1y+DM2a2bo2N8MbNY9oKmoY3TwgBniR/LWMYBoQZJPaVTc+Pj506dKFLl26lFn2ypUrHD9+nJMnT5rXfCoYPOUnjCgYPJlMJjIzM8nMzDQHTz/99FOJC+XmB09eXl5Fhu2ZTCbq1atHWFgY9hW/SNYNycnJYfny5URHRxMWFsbEiROrTK+iEJVPh+oZ6gb8DgxCZRCVRa0rS9V4ZxRCiCpC02DxYvjnH3jzTbXN3189bg0uwERgHGpS7xwgEhUgLQZGATOwZC0jYRlvb286depEp06dyiybmprK8ePH+fvvv4mOji4058lkMqHX681D80oKnqKiovjpp5+KPX5+8OTm5mbOtldw2J7RaKR+/fqEh4dbLXiaOXNmkXlnzz77rFXnnQlR9TUBvgPuAnaj5nquRz6qVw5pZSGEyJOTo+YH/d//qef9+kG3bratk/XYo4ZoFFzL6H/AKuA9VCrY54DWNqpfzeTp6UmHDh3o0KFDoe0Gg4Fvv/220JDEq1evmoOngsP2rs+2d+LEiWKDp4SEBKKjo8sMnlxdXc1znh544IFCwVO9evWIiIiwOHiaOXNmsZkJjUajebsERaLmagN8DfQFvkItwr2aisoOKkomAZEQQgCJiTB0KOzZoxImvP02WDCV5BZgh0rH3R/YhwqMtqF6j75A/WGehRrKUeUzSdQoHh4etG/fnvbt25dZNi0tjePHj3PixIkiw/YCAwPNwdPff/9dbPCUmJhYZvDk6OhYqOfpgQceMKcqz83NJTAwkPnz55dazwULFvDaa6/J8DlRg/VAvfcOAdYALVGpuYU1SUAkhKjx/v4bBgyAqChwd4fPP4f+/W1dK1volvc4ghpKtw41hOM7oDOqx+g+in5baUSn+5G6dfei07mhhnzoK63Womzu7u60a9eOdu3alVk2IyPDnG0vOjqamJiYYhNG/P333+ZhbyaTiaysLLKyskhMTOT06dPs37+/3PU0Go08+uijDB8+nIYNGxIeHo6bm6zRImqagajFW98Hxti4LjVDjQuIjEYjBoPB1tWolgwGA/b29mRlZZW6On1JHBwc0OvlQ5KoWnbsgAcfhJQUCA2FLVugRQtb18rWbkNN8C24ltH/gPuBFqi1jP6FWstoIzAFe/sLtG0LsAAIRs1HGlzpNRc3z9XVlbZt29JW/YOWKiMjo0jPU2xsLDk5Oeaep0uXLhUKnsqybt061q1bV2ibvb09Tk5OeHt7c8899+Dn54efnx+xsbG4ubkRHBxszroXFhaGs7NMRhfV3UjgEWS4XOWoMQGRpmlcunSJK1eu2Loq1ZamaQQGBnL+/Hl0N7gIS/7ChTf6eiEqWnKyCoa6dIGNGyEgwNY1qkrCgJVcW8toBSoBw6OotYx6osa3a9e9LhYYipoQLEHRrczV1ZU2bdrQpk2bMsvOm/cWM2c+V2Y5BwcHcnNz0bRr91Vubi65ubmkp6fz0UcflXkMnU6Hk5MTt99+uzl4OnfuHA4ODtSuXZs6depQr149QkNDCQ8PJzg4uMxjVgbJvicKKxgMzQfqoOZ9iopWYwKi/GAoICAAV1dX+UB+A0wmE2lpabi7u5d73QtN08wLFwIEBUlqX1E1DBsGzs7Qp49KsS2KE4RKzT0LtcDrIlTK7vdKKK+h5htNRQ39qOieYdN1D2MFPq/IY1Xcse3scmnePAo7ux8KtEHVr3fB51Om5DBrFpTWUaTXQ1raNzg69iY3N5ezZ88SFRVFTEwM586dIz09nTp16pCYmEhCQgI7duzgypUrZGVlFQqiNE0jKyuLn3/+ueSTXcfT05OgoCD8/PyIj49Hp9Ph4+ODn58fgYGB1KlTh/r169OgQQPatGmDl5dXhX6WkOx7omRbUItp2wNeQD/bVucWVCMCIqPRaA6GatWqZevqVFsmk4mcnBycnZ1vaCFAFxcXAOLj4wkICJDhc8ImkpPhmWdgzhyoW1dtu/9+29ap+vAGnkcFOrOAd0opqwHngUaAKxX7gbzm0eshvJpnQnd0hOnToZgkc2bTp4OjYyKghsnlD4GzVFZWFmfOnOH06dNcvnwZLy8vEhISSExM5OuvvyY+Pp7U1FQyMjLIzs4mNzfX/NrU1FRSU1M5ceKERefS6/XUqlWL7OxsANzc3PD09MTX1xd/f38CAwOpV68evXr1MvdSeXh4FBtESfY9Ubr7gBHAZ6je9+1Ajcj6U2lqRECUP2fI1dXVxjUR+f8GBoNBAiJR6S5edKNbN3tOnoTz52H3bpVRTpSXK9CR0gOifGesXJfS6FC9U3YFHqU9L0/Zm31evtcajXD6dAwNG4aj1zvY8Dpu5rW/MHfuMAAWLCjcU6TXq2BIfeb/EmiLCqbLx9nZmaZNm9K0adMi+557rvjhemlpaZw5c4bdu3fTrFkzUlJS+Oabbzh//jxJSUlcuXKFq1evkpGRQU5ODiaTCZPJhNFoNI96AEhJSeHixYtFjv/iiy+af9fpdOh0OhwdHXF2dsbd3R0PDw+OHz9e6nVJ9r2azg6VcS4F2IrKCvojar6nqAg1IiDKJ8PkbE/+DYSt7NmjY+bM7qSl6ahXDxYtkmDo5lg67PVt4A4q/wO5jlspTbjJZODYsW8JDe2XFxBVR3WBYObOjeW11zSWL4foaAgLg4kTVQ+SsgnYjPpWfCpwN9b8t3R3d6dJkyacPn2aO++8EwcHB4YMGVLqa/Kz6SUmJrJr1y7Onj1LXFwc8fHxJCYmkpKSwtWrVzGZTHh4eJCQkEBmZiaappmH82VlZVk8r9loNJqDJw8PD3x9fRk0aBB+fn74+/uTmpqKt7c3YWFhhIeH4+7uXgEtI6oWB1Tmzz7AT3k/93EjXxyIompUQFRZNA3S0tQij46OKo1vRX7wyn9DvZF5PE899RTPP/98lZlAKkRlWLUKnnpKT26uPe3bm/jqKzsCA21dq+quGyqbXCxFkyqA+gAbjPpAK73BAtR9sBgYiqOjjqlTC943+X8kXwIOor4F/ybv0QKYglpI2KXyqlsKZ2dn6tatS926dWnVqpVFr8nIyCAyMrJQNr64uDh+/vnnYnuWrmcwGEhKSiIpKYmzZ8/yxx9/lFo+PzOfh4cHffr0MQ/bu3TpEi4uLuakEmFhYTRo0EB6n6oFV9R8oh6o5RF6AX8CklXxZklAVMGSk9VQnJyca9scHaFePfDxKf/xtm3bxoMPPoifnx/JycmMGzeO5s2b8+2337Ju3TouXbrE+vXrWbt2LV999RW1atXixRdfZMGCBbi6upKens7ChQuZMGECOp2OlJQUxo4dy7Zt2yruooWoonJz4dlnYfFiAB3du5/nm28C8fCQNKY379qHW/VhtrgPt4uQYEgUNhiVfXAKcKHA9mDU/ZKflfAkakjmGlRmw7GodbDGAxNRvU3Vi6ura7EL6S5atIhp06aV+fq+ffsSEhLCpUuXyMjIIDQ0lISEBBISEjh06BAZGRklZub78MMPyzx+/lC+du3amYOnuLg4dDodgYGBBAcHm5NKhIeHU6dOnRuaTyxuljfwPdAdeArwAGQ5mZslAVE5GY2wbx/ExUFQEHTrpsY+gwqGoqOLviYn59qwgPIGRc7OzgwdOpQ1a9bw3HPPYW9vj7OzM7/88gstW7YkJSWFnj17MnnyZPO3Oy4uLsycOZOXX36ZCRMmoNfrSU9Px83Njddff513330Xk8mETqcjMzNT5laJW1ZWFuzapX5/5RUjrVodwtlZsvNUHEs/3ApR0GBU9sF9QBxq+GU3CgfPEcBS1FpYq4ElwFngDWAu8CCq97FwcFEdTZw4kWeffbbUdZr0ej1fffVVmb04xWXmu3LlCvXr1zcHT7t27SIpKYns7OxC6zJqmkZ2djY//fSTxXXPz8rn5+dHQkICJpOJWrVq4e/vT1BQEHXr1iUkJIR69eqZk0+IilAbOExV6TG9FUhAVA4bN8KUKXChwN/94GD17fMDD6ieodKcPw/e3uUbPufgUHisuL29+ierX78+q1atMk8cTU5O5pdffuGee+5Br9cXepOLjY0tMp54zpw55t8LfqMkxK3E3V0ttHrwIAwYYOLbb21do1uR+nCbm7ubw4e30br1vdjb34X0DInS6VHDfsriDTyDCrq/RgXa+1ALB38OdMrbNxg1x6L6cXR0ZPr06cVmmcs3ffp0i4a03UhmvoyMDKKiooiOjiY+Pp5atWqZg6dvv/2WuLi4QkklCgZucXFxxMXFWXwuNzc3/Pz8yMzMxGg04uHhgbe3N7Vq1SIgIICgoCDq1atHz5498ff3x9fXt8jnoKqgaqwXVTAYSqZZszXAPVTX/we2JgGRhTZuhKFD1fyggmJj1faPP4bGjUs/Rk4OXL6sgiIHB8sDox9//JHhw4dz9OhRhg0bhk6nw8vLq1AWnZ9//pkRI0aQmJhY5PV+fn588MEHbNmyhdzcXB56SC3qlT+xU4hbyd69cPQoPP20eh4Soh4GGVFgRXo07U5iY9O57bY7kWBIVDx7VNAzGDiEGq65Fvg57xGMGj40Fqh+y2vkp9S+fh0ivV5v9XWIXF1dadWqVbFzoQpmyCsoISGBc+fOodPpCgVPZ8+eJSkpiZSUFNLS0sjMzMRgMGAyqXT56enppKenm49T3GeW6+UHRE5OTri6uuLl5YW3tzd+fn7Url2bQYMG4e/vj5+fH66urgQGBpq/PLaGqrdelIZe/wCNGv0Pk+lRVJZG+XhfXjW2xTQNMjIsK2s0wuTJRYOh/OPodDBjBnz22bXhcyU5cUItAlm/PtSurbZlZ0NCgpprVPCRf6yIiAieeOIJVq9eDUDLli05duwY9evXN4/fzcrKYtq0aeZU1nPnzmXp0qWkp6ezYsUKRo0aRUxMDFlZWQwfPtyyCxeimnn/fZgwQc0datIEeva0dY2EEBXvDuBD1GLBK4EVqCGbs4BXgZHAZKCZrSp4Q+bOnctrr71WBXoeypY/TK6g/C9bi5Odnc3GjRu54447uHLlCrt27eL06dNcunSJhIQEkpOTSU1NJT09ndzcXFxcXEhKSkLTNPOIF4PBQFpaWqFU5wBr1qwpcj6dToeDg4M5tXn++lBDhgzB398ff39/srOzqVWrFuHh4QQEBFg0H6pqrhelw2T6D5rWH71+M2qe3XvcSlk2K0ONDYgyMtRwmoqgaWpO0V13WVZ+796C6UVVXYrrcba3hzNnoFatIHr27MnOnTsxmaB+/Wb8/ffpUnuZCs4hKmjHjh2kpaWZnz/zzDM0aNDAsooLUUUZjfDcc/D22+r5sGHQubNt6ySEsLZA4GVUILQWNZzuMPBu3qM3ajhdX1Qq9qrP0dGRqVOn2roaFc7Ozg5XV1caNmyIg4MDHTp0KPM1RqOR5ORkDh06RFRUFOfPn+fixYv8888/JCQkcOXKFbKzs6lTp465lyo1NRVQI2BycnLIyckhNTXVnMXvf//7X6l1dHR0xMXFBXd3d+6//35zz1NycjJ6vZ638//IlMBW60Vp2t0cOvQs7drNRad7H/BFzbWToMhSNTYgsqXbb4eCeQwcHcHfXw2py38Yjepb7sxMEwcP/srUqVPZv38/d999H7NmvcXHH8/Fw8MHnU4FRQkJl1i27HOGDRtgPu71PVpGo5Hw8HB65n1tPmrUKMaPH18ZlyyE1Vy9CiNGwDffqOf//a96yBpDQtQUTsBjqJ6hfajAaDOwPe8RgQqMRgKyPk91odfr8fPzo3fv3vTu3dui16SlpZnnQ8XExHDhwgXz+lDp6emEhYWZg6fjx48XmjZgMpnM60MlJyezbNmyctfZaDSyfPlymwS1cXEdMRrfxd5+LGr9t1qozIzCEjU2IHJ1VWsFWWLvXuhnQWKqdesodW2TBg1UljlX18If1tzc1KOg3FwVGP31Vzzh4Q3p2bMnsbGxADg7OzJw4FgmTbqWGGH8+B6kpjqQna2Gzy1evJj3319DYmIi9ep1JCoKzp1LpnnzTnTvPggnJ5WNxtPT07JGqACaBunp6vHrr9ClS9lDDIUoTUwMDBgAkZFqKOoHH4CMCBWiptKhUhF3B86gstS9h0rh/RTwPGqO0dNAiI3qKKzJ3d2d1q1b07p1a4vKa5pGQkICJ0+e5MyZM+b1oZKTkwkPDzcHT/v37+eff/4xz4UqTXRx6YYriaY9BqSiEpHMQmWjG22z+lQnNTYg0umKBiEl6d1bZZOLjS1+HpFOp/YPHgypqRWzDpG9vXpcuhRN586d6N+/Pz/99BPOzuDtrWPNmtX8/vs3aJqq09mzZ/DyAhcXlfXlrbfeYuDAcUycOIGcHLhyBY4dO8btt9/L6dPqm5D09HS8vLwA9S17QgI4ORWdy1QRywwUXJ8pIUHN8zAaVYa+wZKZV9ygnTtVMBQYCF99Be2rfwZeIUSFaADMRw2pW4Na0ygK9c35AuABVNruLsiwoppLp9OZ5xR16dKl1LKWrhdVngx/1jEdSAI+QmVhFJaoHoNqbUyvz1/YsegwnPznixapcj4+0LKlyjjXoIH62bLljS3KCrBnzx6aN29eZPuYMWP4669Ijh2L5PjxSNq3b0ft2upb8j///JOmTZvi56fOW7s2uLpe5tixX7nzzi64uUF2dio6nc7cQ5SRAYmJcPGi+tb95En1QfPQITh8WAV6+bKzVYCTnq4yd5WVtTt/faaCQSJcy9C3ceONtY0QTzwB8+fDb79JMCSEKI4HMAk4AWwBegImYANq7aO2wMeArJEjSjdx4kRz4qrSrFmzxjxnyXZmA38ATWxcj+pDAiILDR4M69dD3esWxw4OVtsL9nLodODhAbVqqZ83OpchOjqaH3/8kTvvvJP169dz4MABnJ2d0TSNFStWEBoaan4cOHAAgPj4eP744w9atGiBXg92dibc3HSsWvU6997bl9tv96ZpU/Dzi8PT09OcVcXdXV2bvz94eqrAKr9nKDe38NC2lBQd0dFw/DgcOaKCpshIFUTFxEBm5rWyRiOcO1f89eUHUlOnqnJCXM9ohD174PPP1U+DQSVOSEq6Vmb6dPX/UAghSmYH9Ad2AH+ihs45o1J4j8TevhEREV8A8SUfQtRo+etFleXIkSPUr1+fWbNmVUKtSqKjcPr5HUDJCSVEDR4ydyMGD4aBA2HfPpUVLigIunWz7jyY2bNn4+Pjwx9//EGjRo0YM2YMq1ev5sknnyy0uGqPHj3Iycnh/fffp127dvj4+DBlyhS2bNmCm5sby5Yt4+DBgxiNRoYMGcIvv/zCwIEDza8vbh6TpqkPpDk5KkDKZ2+vyubkXOshyspSD1BBVb7Y2NLXf9E0NZRu3z41XG/v3mvDBa9/9O17LVX5mTMqICupbHi4CuxADQdMTi65bHnWhBKVp7iFkJ2d1X22bRvs2FExwzmFEDVNC2AV8Ebez2XodBdp2vRzNG0DMAKVhKG17aooqqSy1ovy8vLi5ZdfJjc3lzlz5rBmzRo2b95sUVY96/kRuA9wy/u96HpTQgKictProUePyjlXWFgYzzzzDACvv/66efukSZPQrhuntmfPHgDatGljHgfbpk0bunbtSrt27Wjbtq150bXJkyfj5uZGu3btSj2/TnctaADIn0vo66vh56czbzMYVHCUna1+OjldO0a2haMQ4uJUkPPCCyWX2bfvWkD09deqZ6kk330Hffqo37/4AsaOLbnshg3Xevi+/FINwyopeJo3D+6//1p9Zs0quez48dCrlyp7/LgadllasNemzbW2+Prrksu2aKHW2AGVGOTgwZLL+vmpnkpQwe2VK0XL2NlVvYCwpIWQ84PuFi0kGBJC3Cw/VKKFGeTmruXq1dn4+JxCzTlaA/RABUYDkMWGRb6y1ouaMGEC999/P//73/+4dOkSHTt2ZNCgQXz++ec4F/x2udK0Bdqheoj6AD8Btp7nVPVIQFQNuZWSDaJu3brUzRvXN3LkSPP20NBQ8+933313hdXFzk4FQE5Oanjg9WrXhpSUso8TFKReP2qUGqJX3KNWgd7fgABo27bksgXTmgN5WfWKH5pXcEHrrKzC86WuV2CBbRISYP/+ksv27Xvt93Pn4N13Sy7r43MtIDp9WsekSSWXff11eP559fupU6UH6M8/r8qDmsfVuHHx5eztVW9M/hILly7BHXeUHGgNGXIteE1LU89LKtulC4wbp8rm5sK//11y2YgI6N9f1aW0uWmbNsGCBZKlUAhRERzQtOHs3evJfffVwt5+KbAe2JP3aICah/Q44GWzWoqqo7T1omrVqsX+/fvZvHkzI0eO5OrVq2zevJlmzZqxbt062rZtW7mVxQ34BrgTNVy0FyooqlPJ9ajaJCASVuXhoTLVXZ9QIV9+hr78oYf9+1t23IceUg9LPPGEesC1YYAlBU+DBqkgo6RAKyLiWtkOHVRPRkllCy4MGhYGr7xSctlWBXqwfXw0Hnyw5LL1618r6+AATZtaFhjm5pbcRtfvy84ufrHggteeLysLtm8vuaymXQuIDAYVyJRk8GDw8io8TK44+cMsK6u3VghRM2haB6ArcB5Yjlrg9Qwqc9d/UEHRJCDcVlUU1cSgQYNISkri8ccfZ+3atZw5c4YOHTrw9NNP8+qrr5qz/FYOH+B7VCKRaFRP0Y+oBVwFSEAkrEynUynHi0vLf32GvsqqT8FhgNfz8Ci+p6s4derAAw9YVjY8HP7zn9LL5M+1atZMrWlliRYt4Ngxy8qWFjhdHzwFBansgiWVLZhcxN0dPv645LJNm14rq9erHqLryxgM6mebNqUHYgVZWk4IIcqvHvAm8BLwCWqx1+Oo9N1LUAkapgB3I2m7RUns7e356KOPmDdvHs888wyffvop77zzDitWrGDatGm8+eab5uRW1heESq7QBYhEzSvaiepBEhIQCavz8VE9JNevzxQcrIIhWYeocuh0KiDR6wvP8yqOoyPcdptlx3V2hkcesaysoyMUyAVSrLzpcGUKCrKsnBBC3DhXYBwqK91OVGD0LSqF9xZUgoapqEQMLjapoaj6ateuzSeffMJjjz3Gv/71L5KTk5k7dy4ffvghmzZtolOnylovqAGwHbV4cSPAsZLOW/XJtGRRKfLXZ2rQQE30/+gjlURBgiFxvW7dVLBcUqKH/F7Hbt0qt15CiJpMh5p7sRX4G3gK9c16JPAEqkfpRcDW68+IqqxXr15ERUWZk1/9888/dO7cmYEDB5KVnzXI6loAv6EShzhU0jmrPgmIRKXR6a6l927fXibEi+KVZyFkIYSofI2BpcAF4G0gBEgEXs/7/WHgV5vVTlRtvr6+/PTTT3z11Vd45q0P8vXXX+Pr68uHH35YSbUI41oIYAQ+BUrJZFQDSEAkhKhyyrMQshBC2IY38AwQhcpK1w3IBT4DOgCdgXV524Qo7P777ycxMZHHHnsMnU5HZmYmo0aNYtKkSaRYkp63QmjAI3mPUtY9qQEkIKricnJyyC0tPZgFzp49iyl/ESEhqonBgyEmBnbvhs8+Uz9lmKUQouqxB4YAe4GDwEjUUKSfgX+h5m28BSTZqoKiirK3t2fNmjX8+eefhIerzIVLly6lWbNmfPrpp5Xw2U2HSgwCKonIPCufr+qSgKi8jEY16/vzz9XP4ha2qUBjxoyhRYsWhR4+Pj7UrVu30DYXFxeGDRtW7DFGjx7Nf8pKcVaMnJwcLl++zN9//82uXbtYsWIFjz/+OJ988snNXpYQFslfCPmhh9RPGSYnhKja7gA+BM4B/wUCUEPrngOCgQmobHVCXNO8eXNOnTrFzp07CQ8P5+LFizzyyCMEBQXx008/WfnsY1EBO8BMYLWVz1c1SZa58ti4Ua0YWXCRlOBgNeHBSl9bf/zxxwD873//w8nJiTZt2jBq1Cg6duzIhAkTADAYDAwfPpzX81fgLODcuXNERkayefNmi84XEhJCTk4OLi4uuLi44O7uzpEjRxgwYAANGzbk9ttvx8VFMukIIYQQJQsEXkYFQmuBxcBh1LpG76LWgZmS97Pgd9NGYB8Qh0qT3A2Qb4JqinvuuYc///yTGTNmsHTpUuLj4+nWrRv33Xcf69atw/X6VecrzEzUPLi5qKyK3qhez5pDAiJLbdwIQ4eqVSYLio1V2608seGtt96iQ4cOtGnTBoDXX3+dlStXomkaaWlpjBs3jkaNGgGgaRp6vR5vb29zfvuGDRsWOl5ubi6Ojo7Ex8cX2b5161buuOMO87bQ0FBmz55NREQEqampeHp6YjKZKjF3vhBCCFEdOQOjgMdQQ+oWAV+hFsn8HpWgYTJqmN12VJBUcGXqYFQwJWOFawpnZ2eWLFlCnz59eOSRR0hJSWHr1q3UqlWLpUuXMmbMGCudeQ5qWOd7qDTyW4GeVjpX1VNzP9FqGqSnW/ZITYXJk4sGQ/nHAdVzlJpq2fGKO04pDh48yDfffMP+/fvJyMgA4IUXXuDw4cMcOXKE6Oho/v3vf5vL63Q6nJycOHToEAkJCcU+du7cibOzc5FzmUwm/vOf/+Di4oKfnx9+fn6cP3+eTp06ERAQQFhYGB4eHkydOrVc1yCEEELUXDrgTmATKgnDNMATOIFK4V0b9Y38heteFwsMBTZWWk1F1dC/f3+SkpJ4/PHH0el0ZGVl8cQTT9CyZUsuXLj+PqkIOmAl6n6zA7KtcI6qq+YGRBkZ4O5u2cPLS/UElUTT1DA6Ly/LjpcX1Fji4sWLPPzww2zcuJFGjRoRERHBL7/8QlJSEmlpaRgMBq5evcrZs2fZtWsXp0+fBkBvwWSL4np4cnNzmT9/PpmZmebgqV69evz888/Ex8cTHR3N1atXeeeddyy+BiGEEELkawgsQAU/76BSIJf0uSD/C9SpqOF0oiaxs7Nj9erV/PXXX4SFhQEQGRlJmzZt+PLLL9HK+QV72fTAJ8B+4L4KPnbVVnMDomrg7Nmz9O3bl5UrVzJw4EAWLVrE9u3b8fT0ZNGiRXTo0IGIiAiaN29Oly5deOihh0hISLipc2ZmZuLk5MSECRMIDw8nPDyc2NhY+vTpQ0REBHfccQdvvfVW2QcSQgghRCk8gEnAqjLKacB51NwiURM1bdqUqKgo5s+fT3BwMPHx8QwbNox+/fqxf//+Cj6bEyo5SL7TwJkKPkfVU3PnELm6QlqaZWX37oV+/cou9+230L27Zee2QEhICL/99htffPEFTz/9tHl7SkoKTZs2pWXLluZtYWFhTJs2rdDr81M4liQ4OLjQc4PBQHp6Om5ubiQkJPDiiy8yatQo/vjjDxo0aICnpyfjx48nPT3dovoLIYQQoiz/WFjuKeAJYABQ+t93cWuaPn06EydOZM6cObz55pt89913fPfdd/Tt25dRo0ZZ4Yx/oeYRuQE/oZKF3Jpqbg+RTgdubpY9evdW2eR0upKPVa+eKmfJ8Uo6TjGcnJzYv38/LVu2ZM6cOcyZM4e2bdsyePBg8/P77ruPLVu2FHltVFQUubm5xT4OHDhQpHx8fDxOTk74+fkVGk43evRodu3aZX5e8V20QgghRE0VZGG5Y8B0oBHQBJiBStQgC7/WJM7Ozrz88sscPXoUPz8/AL777jseffRR3nvvvQo+mw/gAkSjMiJeqeDjVx01NyAqD71epdaGosFM/vNFi6y2SIqmacyePZuOHTvSsWNHtm7dyty5c83PJ06ciMFguOnzREZGUr9+fXQ6HdnZajKdwWDgzJkztG7dGoDAwEB8fHxu+lxCCCGEAJVaOxg1qb04OlTQNB+4BzW45wTwNipRQwDwMCq9d7K1KyuqiMaNG/PPP/8wduxYdDodBoOBiRMn0rx5c86ePVtBZ6kD7ED1DB0F+lPyfLfqTQIiSw0erFJr161beHtwsNVTbtvb2/P2228TGRlJZGQkAwcO5KWXXiIyMpLDhw8zbtw4tm7detPn+frrr2nXrh0Ay5Yt44EHHmDZsmU0aNCAP/74g86dO9O+fXumT59+0+cSQgghBKiJ7HlfuhYJivKfL0X1Du0EEoB1wKNALVQQ9BnwEOAP3IUKnk5atdbC9uzs7Fi1ahVHjx4lKEj1NB47doyGDRvy/PPPV9CInjBUinhvVLKFoUBOBRy3aqm5c4huxODBMHAg7NsHcXEQFATdulmtZyjfO++8Q25uLqmpqWRnZ5OZmcmZM2fYv38///zzD/Pnz2fr1q3s2LHDvGiq0Wgscw5RQECA+fezZ8/y4Ycfsm7dOkD1DM2aNct83AYNGhAfH8/YsWPp1q0bS5YsITDw1h1LKoQQQlSewcB6il+HaBGF1yHyAh7MexiBA8AW4BvUnI89eY9nUcPrBuQ9ugAOVrsCYTuNGzdmxYoVREVF8fzzz5OTk8Obb77JoUOHWL58eZG1KMuvFdfWJdqGWlfrE26lRYOlh6i89Hro0QMeekj9tHIw1LVrVxwcHPDy8iI8PJwuXbpw+vRpDh48yMKFC9m6dSsjR44kKSmp0GJd2dnZZc4hysm5FuGnpKQwceJE+vXrZx6e5+PjQ2RkJBERETg4ODB+/Hh+/fVXfHx8WLNmjVWvWwghhKhZBgMxwG5Uj89uVHav0kag6FGBzhwgEjXXYzHQCxX8nEKl+L4LNbTuobxjJ1njAoSNTZ48mcuXL/PII4/g6OjI999/T/PmzRk/frx5Hcsb1xm1jpYDai0tCxOTVRPSQ1TFbdiwAUdHxzLn7UyfPp3c3GsTK8+dO2fuPi1O27ZtC6XobtWqFXPnzgVgxowZPPfcczg4FP0mydPTk5UrVxa7hpEQQgghboYe6HETr28ITM57pKLmf2xBfbufgJpntJZrgVR/VO9RY0qewySqE09PTz7++GNeeuklnnzySXbt2sWqVav48MMPWbx4MePHj7+Jo/dB9RC1R6WNv3XIp9oqrnbt2hYlMQgODiY0NLTQc0sWZy2Os7NzscGQEEIIIaoLT2AIsAa4BPwPmAW0RA212wvMBJqihtZNA37gVpwfUhNFRESwc+dOZsyYYU6WNWHCBJo1a8aZMzezrtA9FA6G/rzJmlYNEhAJIYQQQtzS9EAn4A1UtrAzqEQNfQBH1FC7Rag5Iv7Av4CPgUQb1FVUFJ1Ox9y5czlx4gQREREAHD9+nPDwcCZNmoTJZLrJM8xBzS/64GaranMSEAkhhBBC1CihqIVev0MNpdsIjEbNM0pFZbEbmfe8G/AWah0kWYewOmrUqBEnTpzgnXfewdHREZPJxNKlSwkKCiIqKuoGj6qh7h1QCwZvRvU87gE+z/tpvLmKVyIJiIQQQgghaiwP4AHgfSAOlbXuBeA2wAT8BDwHNEelYJ6CmpskQ+uqm0mTJnH58mXuueceAOLj42nZsiVvvPFGoURbltEB81CBtAmV9TAIlcBjRN7PUFSwXfVJQCSEEEIIIVAfCzsArwGHgbPAcuBewAk11O4doDfgh1qT5kPgsg3qKm6Ep6cnO3fuZOfOndx9991kZWXxwgsv0LhxY5YvX17Oo+mAVagkC7kUvQ9iUfdI1Q+KJCASQgghhBDFqA88CXyLmk+0GRgDBAJXgQ3AKKA2Ki3zm6hJ9jK0rqq755572LlzJ5988gl+fn7ExMTw1FNP0aRJE6Kjo8txJB0q8ClO/n0wlao+fE4ConKrvPGRWVlZ7N69m3379vHTTz+xZ88e4uPjad++Penp6Xz//ff0798fgHnz5vHf//63xGPddtttsnaQEEIIIW6QGzAQeA/1AfhX4D/A7agPvj8Dz6Mm2TcEJgHfA9m2qKywgE6n4+GHH+b333+nSZMmAJw4cYJGjRoxceJEC5Mu7KPkgAjUvXE+r1zVJQFRuWxEjYesnPGRGRkZbNu2jQkTJjB//ny+/vprLl68SHJyMo6Ojjg4OODk5ASAk5MTnp6eJR7Lw8PjhtNwCyGEEEJcYwe0A14BDqE+8K4E7gOcUQvMLgX6ArXQ6x+kfv0fgH9sUltRupCQEI4fP86yZctwcnJC0zRWrFiBv78/P/zwQxmvjrPwLJaWsw0JiCy2ETUO8sJ12603PtLX15e5c+fi7e3NSy+9xIIFC2jdujWurq40a9aMRx99lF9++YUWLVqwaNEi7Ozs0DQNo7For5W9vT1JSddWpo6KiuKZZ54ptJirEEIIIUT5BQPjgW9QQ+u+BsaiJtmnY2f3FbffvgR7+/pAR+B14AgytK5qmThxIgkJCfTu3RuApKQkevbsyaRJk0pJuhBk4dEtLWcbNTgg0oB0Cx+pqFWfi/uPm79tSl45S45n+RtAZmYmp0+fxtnZmRMnTgBw5MgRnnrqKSZOnMiFCxeIjIzk9OnTTJs2jb/++gt7e3v0ej329vbY29uzYcMGALZv3w7AhQsX6NevH1lZWWiavBkJIYQQoqK4AgNQk+1jgd8xGl/iypUwdDoN+AV4EWjNtfTf24Asm9RWFObu7s7333/Pzp07qVWrFgBLly6ldevW7NtX3LC3bqiAWFfCEXVAvbxyVVcNDogyAHcLH16UPT7yQl45S46XYXEtt2zZQmpqKnPnzqVVq1a8+eabBAUF8dJLL7F48WJCQ0MJDQ0lJCQEX19fMjIySExMJCcnhytXruDg4ECnTp0A2LlzJ4sXL6Zr1648++yzLFu2DAcHB4vrIoQQQghhOR3QBpPpJX78cT4GQwwqUBoAuADnUFns+gG1gEHAauCSTWorrrnnnnuIj4/nvffeIyAggOPHj9O9e3datGhx3dpFemBx3u/XB0X5zxfllau6anBAVPWZTCbmzJmDj48Pa9aswcnJiVmzZhEXF0dQUBCHDh1i06ZN/PXXX5w9e5akpCTat2+Pr68ver2ebdu20bRpU+rUqQPAww8/zNSpU1myZAnjxo2z8dUJIYQQomapgxpK9zVqaN03wASgLurL4q9Qi3wGoVI5zwb+QIbW2YadnR1jxozh77//Nn9u/Ouvv4iIiGDChAkFki4MBtaj/h0LCs7bPrjS6nyjanBA5AqkWfj41sJjfmvh8VwtO9q33+Lr62t+bmen/rlOnDiBi4sLwcHBzJgxg23btrFz506eeeaZQq+fP38+Y8eONT/v168fd955JydPnrTweoQQQgghrMEFlYRhBSopwyHgVVSyBoDfUFns7kANuZoAbAUyK72mNZ2Pjw/vvvsuK1asMCddePfdd/Hz8+P777/PKzWYnJyTvPfeU7zySm/ee+8pcnJOUB2CIajRAZEOlULSkkdvLBsf2dvC45V0nML69evHwoULi2xfsWIFHTp0YMCAAWRlZeHp6clHH31EcHCwuczHH3/MxYsXGT16dKHXrlq1itmzZ7N161aL6iCEEEIIYV06VPrul1DpvC+i0nsPRH2JHAu8C/RHDa27H/i/vHKiskyYMIGkpCT69u0LQHJyMn379uWee+5hypQpuLp6MHbsMl5+eTtjxy7D1dWDmTNn2rjWlqnBAVF52GZ8pJ2dHY0aNTI/N5lMXLx4kfXr11OrVi06depEdHQ0f/31F127duXRRx8F4LfffuPJJ5/k3XffxdnZudAxIyIi+OKLLxg2bBjz5s3DYDBUaJ2FEEIIIW5OEGoB2M2ooXXfAhNRXz5nAluAcaghWm2Bl4GDyNA663N1dWXbtm3s3r3bnHRh165dvPPOO0WyHBuNRubNm1ctgiIJiCxmm/GRmqZx6dIlQkNDyc7O5oUXXuDf//43r732GmFhYeTm5jJv3jz69u2Ln58f+/bt46677mLGjBnce++9xR6zT58+bN68mfnz59O5c2fS0tKsUnchhBBCiJvjDNwLLAPOotJ1vwZ0QH0pfRC1HlJb1GeycaiAyfIEVqL8evToQXx8PE899VSZZRcsWFBK2u6qwd7WFaheBqO6b/ehFpgKQqURtF7mjMzMTAIDA4mJiWHhwoUMGjSI+vXrc/jwYSZPnsyCBQs4deoUvXv35vPPP6dLly588sknDBo0CFDRuZ2dHcnJyeY5SAC9evXi6NGjxMfH4+7ubrX6CyGEEEJUDB3QKu/xAmqh129RyRm+Rw2h+7+8hzNwD2qYXX9UsCQqkp2dHeHh4WWWMxqNLF++nKlTp1q/UjdIAqJy0wM9Ku1sDg4OvPLKKwBMmzYNgKeffprVq1cze/Zs8zA5f39/7rrrLg4cOGAOhkCtOdSoUSMCAwNp27ZtoWMHBAQQEBBQORcihBBCCFGhagOj8x7ZwB5UcLQF1Zu0Ne/xJGqOUn9Uyu82yCCpihEdHV2h5WxF7oYqzsPDgzFjxhTa9sQTT3DkyBGeffZZ87ZJkyYRFRVFkyZNCpUNCQnhyJEjnDlzhvr161dKnYUQQgghKpcT0AdYApwB/gTeADqjepb+QKXxbo+a/vAEKs13ui0qe8sICwur0HK2IgFRNdS6dWsiIiKKbPfz8yu2fNOmTdHrq/aCWEIIIYQQFUMHtABmAftRQ+vWAEMBD9TCr6tRC8HWQi0Muxy1UKwljKjeqM/zfhpLK3xLmzhxYpmfMfV6PRMnTqykGt0YCYiEEEIIIcQtzB94DPgSSAC2A5OBBqihdtuAp4AQoDXwIvALYCrmWBuBUOAuYETez9C87TWPo6Mj06dPL7XM9OnTcXR0rKQa3RgJiIQQQgghRA3hCPRCLacSDfwFzAG6oj4WHwFeBzqikmc9jgp20vJ+DgUuXHfM2LztNTMomjt3LjNmzCjSU6TX65kxYwZz5861Uc0sZ5OAaNKkSeh0OvMjP0NFZGQk7dq1w8fHhxkzZqBpkk9eCCGEEEJYgw5oBvwblUH4H+AjYBjgCcQDHwBDAF9Uj1Bxn03zt02lpg6fmzt3LhkZGSxcuJCnn36ahQsXkpGRUS2CIbBRlrmDBw+ydetWOnfuDKgIMjs7mwEDBtCnTx/Wrl3L5MmTWbNmDaNHj7ZFFYUQQgghRI3iBzya98gBfkJlrNuC6k0qjQacRwVWPaxXxSrM0dGxSqfWLk2l9xDl5uYSGRlJ9+7d8fb2xtvbGw8PD7Zt20ZKSgoLFiwgLCyMN954g9WrV1d29YQQQgghRI3nCNwNLAROAW9b+Lo4q9VIWE+l9xAdPXoUTdNo3bo1sbGx3HnnnaxatYojR47QsWNHXF1dAWjVqhXHjh0r8TjZ2dlkZ2ebn6empgJgMBgwGAyFyhoMBjRNw2QyYTIVN0Gu+srJyam0iWr5Qxjz2/JGmEwmNE3DYDBI5rvr5N+319+/omJI+1qXtK91Sftal7Svdd0K7avT3Ya9BZ+ac3P90bTKvc5boX2toTztodMqeaLOp59+ypIlS1iyZAl+fn5MnjyZ3NxcmjVrRlZWFsuWLTOX9ff35+TJk/j4+BQ5zssvv2xesLSgzz77zBxU5bO3tycwMJB69erddPBgNBr5+eefuXTpEoGBgXTq1KnSPtjXq1ePU6dO4ezsDMCBAweYMGEChw8fLrb8K6+8wsaNG6lXr16x+3/77Td+//33EvdbQ05ODufPn+fSpUvk5uZW2nmFEEIIIW6ckd69x+HsnIhOV3SvpkFmph87drwLyBe+VUFGRgYjRowgJSUFT0/PUstWeg/Rww8/zMMPP2x+vnTpUho2bEiTJk1wcnIqVNbZ2ZmMjIxiA6JZs2YVSvOXmppKvXr1uOuuu6hVq1ahsllZWZw/fx53d3dzMHEjNm7cyLRp07hw4Vp2keDgYBYuXMjgwYNv+LiWcnBwwN/fH13e/0QfHx/8/PxwdHQkPT0dLy8v7At8feHt7V3mMQMCAsq8SfJpmsbVq1fx8PAw16G8srKycHFxoXv37jf1b3ErMhgM7Nixg169euHg4GDr6txypH2tS9rXuqR9rUva17pulfbV6ZYDw9E00OmK9ic4Oi6kX78BlV6vW6V9K1r+6DFL2CSpQkHe3t6YTCYCAwOJjIwstO/q1asl9ug4OTkVCaBABQ3X3wxGoxGdToednR12djc2bWrjxo0MGzasSOa72NhYhg0bxvr1660WFLVs2ZKcnBxSU1Np3rw5gwYN4syZMxw9epQLFy7Qp08fDhw4QExMDHXr1jW/zmQyce+99zJq1Khij3v//fdjMpksbpP8YXL5bXkj7Ozs0Ol0xf47CUXaxrqkfa1L2te6pH2tS9rXuqp/+w5DfXSeQuHU2zp0Og17+63Aw6jsdZWv+rdvxSpPW1R6QDR9+nQ6duzIsGHDADVsy87OjpYtW/Lee++Zy8XExJCdnY2vr69V6qFpGhkZGRaVNRqNTJ48udg04JqmodPpmDJlCj179rRo+Jyrq2u5elj+/PNPAPz8/Pj777/N2/ft28ecOXPYunUrXl5e1K5du9DrunTpwt69e/nmm2+KPe64ceOkl0YIIYQQwmKDgYGobHJxqLWKjEBfYC3QBPivzWonbkylB0StW7fmhRdeIDAwkNzcXCZNmsSoUaPo3bs3KSkpfPTRR4wcOZI5c+ZYHGDciIyMDNzd3SvkWJqmceHCBby8vCwqn5aWhpubm8XHNxgMHD9+HIPBwMiRI4mIiODo0aO4ubnRqFEjQM2Tyh8u9/777zNv3jw8PT1xd3cvMfgymUxs27YNDw8P9uzZY3F9hBBCCCFqLj1FU2uvBJ4AXgYaA8Mrt0riplR6QDRy5EiOHz/OwIED8fDw4IEHHuCNN97A3t6eVatWMWLECGbMmIHRaOTHH3+s7OpVOSkpKdSpU4dmzZqRnZ3No48+Srdu3Th69Cj33nsvPXv2JCcnB3d3dwwGAw4ODjz++OM8/vjjbN++nZMnT5Z6/CFDhhAUFFRJVyOEEEIIcSsaAxwH5gOjgAZAB1tWSJSDTeYQvfnmm7z55ptFtg8aNIhTp07x+++/07lzZ/z9/a1WB1dXV9LS0iwqu3fvXvr161dmuW+//Zbu3btbdG5LeXl5ERcXh6enJ35+fvTq1QtQc6icnZ3RNI0777yTkJAQDh8+zKeffsqTTz5J48aNWbt2LTqdjgED1AS/N998k759+3L77bcD8PTTT9OpUycJiIQQQgghbtpbwAngG9Swul+B+jatkbCMzZMqXK9u3bqFEgNYi06ns3jYWu/evQkODiY2NrbYeUQ6nY7g4GB69+5tlSF+6enp7Ny50zz0LT4+nkceeYTXXnuNUaNGsW3bNs6cOcOUKVM4ffo0s2fPBlQCg127dnHixAkAoqKi2LBhAz/88AMASUlJN5wcQQghhBBCFKQHPgO6AkeB+4GfgIqZoiGsp8oFRFWRXq9n8eLFDB06FJ1OVygoyg9SFi1aZLX5Tk5OTqxatYqFCxcCMHfuXDp37szo0aMB6NevHyaTifT0dBo1aoSHhwcAERER2NnZERAQAMDly5dp1aoVDRs2BNQ6T5JUQQghhBCiongAX6OGyx1BZZ3biKxNVLVJQGShwYMHs379eqZMmVJkHaJFixZZdR0ik8lEREQE//rXv4iKimLMmDFERESYF4h94IEH2L59O7t27WLmzJmAWgD1yy+/xNHRkWPHjgGQkJDA0aNHOXfuHAC5ubns3r2bpk2bWq3uQgghhBA1SwiwGZV44WvgOWCeDesjyiIBUTkMHjyYgQMHsm/fPuLi4ggKCqJbt25W6xnKN2/ePC5evIiDgwPbtm1j7969fPnll2RkZDBt2jTuv/9+evXqxbPPPsvmzZsZNGgQDg4ObN68mdq1a5uzzw0aNIgJEybQt29fADIzM61abyGEEEKImqkj8AEwAngblY57jE1rJEomAVE56fV6evToUWnni4mJYfny5Rw6dAhQWfpmzZpFSkoKd999N46Ojuzfv5/u3bvz2muvMX/+fDp16kSfPn3w9PQsNEcoOjqa559/njlz5pi3ZWVl0bp1a1auXFlp1ySEEEIIcet7CPgbeBWYAIQDd9q0RqJ4EhBVcfXr12fXrl3m9Ya8vLw4efKkec2jo0ePmucBDRw4kD59+uDi4sLhw4dtVWUhhBBCCAGodYlOAF+gFnX9BRUYiapEUoxVcXZ2drRr167Qtjp16ph/L5gUQafT4eLiUml1E0IIIYQQpdGhhs61B5KA/kCyTWskipKASAghhBBCCKtxQSVZCEb1Fg0DDLaskLiOBERCCCGEEEJYVRCwBXADdgJTgKJrWwrbkIBICCGEEEIIq2sNfIoaRrcCWGrT2ohrJCASQgghhBCiUgwE3sr7fSrwne2qIswkIKqGNE3DZDLd0OsmTpxYaGFZIYQQQghRmZ4FRgMm1Hyiv2xbHSEBUVW3bds23N3dCQ0NxcvLixkzZvDhhx8yfPhwAC5dusTSpUvp2rUriYmJALz44ou4urri5+eHi4uLeY0hnU5HSkoKY8eOtdn1CCGEEELUbDpgJdAduAoMAC7btEY1nQRE5WQ0wp498Pnn6qfRaN3zOTs7M3ToUGJiYnjyySdxcnLC2dmZX375hZYtW9K+fXsOHTrE5MmTcXR0BMDFxYWZM2eSkJDAY489hl6vJz09HYDXX3+d1q1bYzKZ0DSNjIyMQufbs2dPpS48K4QQQghR8zgCG4CGwBngASDbpjWqySQgKoeNGyE0FO66C0aMUD9DQ9V2a3FwcCj03N5eraVbv3591q1bx7lz53j//ffp1asXv/zyC5qmodfrC70mNjYWd3d3dDodDRo0YM6cOej1euzs7HBzcwNg4cKF/PHHH+bX5OTk8Morr8jwOiGEEEIIq/ADvgG8gP3AOCTznG3Y27oC1cXGjTB0KGjX3aexsWr7+vUweLB1zv3jjz8yfPhwjh49yrBhw9DpdHh5edG0aVNzmZ9//pkRI0aYh80V5OfnxwcffMCWLVvIzc3loYceAtScoqysLAD0ej333Xcfbdq04cKFC7Rp04b69evz8MMPW+eihBBCCCFqvKbAl8C9wEdAE2CWTWtUE9X4gChvJFmx9HpwdlbD4qZMKRoMgdqm06n9Aweq15R23LwOmXKJiIjgiSeeYPXq1QC0bNmSY8eOUb9+fezsVCdfVlYW06ZNM/cOzZ07l6VLl5Kens6KFSsYNWoUMTExZGVlmecfFTR58mS6detGz549SUpKYty4cSxfvrxIb5MQQgghhKhIvYB3gKeA54HGgJW+ZRfFqvEBkbt7yfv69YOtW2HfPiht5Jimqf379kH+9JvQUEhIKL5seQUFBdGzZ0927twJQLNmzTh9+nSpr5k5cyYvv/wyEyZMKLR9x44dpKWlmZ8/88wzNGjQgKlTp7J27Voeeugh9u3bR3x8PM2bN2ft2rW0bt26/JUWQgghhBAWmggcR61N9CgQCtxhywrVKDKHyAJxcRVbrjxMJhO//vorU6dO5YcffgDgrbfeolatWoSHh5sf7u7ubNmypdRjGY1GwsPD6dmzJz179uSTTz4xB0c9evTgyJEjDB06FB8fHzZt2sSrr75KaGhoxV+UEEIIIYS4zkKgD5CByjwXa9vq1CA1voeoQGdJEfmjxYKCLDtWwXIxMTdcpULi4+Np2LAhPXv2JDZW/cdwdHRk7NixzJkzx1yuR48e5gQMWVlZLF68mDVr1pCYmEjHjh0BSE5OplOnTgwaNAiA3NxcPD09Aczbjh8/bj7msGHDKuYihBBCCCFEGeyBL4DOwDHUIq57AVdbVqpGqPE9RG5uJT+cnVWZbt0gOFjNFSqOTgf16qlyZR23vKKjo+nUqRP9+/cnLCws73w6Vq9eTYsWLcyP3377zfyauLg43nrrLWJiYgolRTh27BiNGjUCVM9Teno6Xl5ehc7Xo0cP9uzZU/6KCiGEEEKIm+QFbEFloDsIjEQt4CqsqcYHRJbQ62HxYvX79UFR/vNFi671KFWkPXv20Lx58yLbx4wZQ2RkpPnRrl07874///yzUAY6gMuXL/Prr7/SpUsXAFJTU9HpdOYeIiGEEEIIURU0BDYCDqi1iv5j2+rUABIQWWjwYJVau27dwtuDg62Xcjs6Opoff/yRO++8k/Xr13PgwAGcnZ3RNI0VK1YQGhpqfhw4cABQQ+z++OMPWrRoAaieIJ1Ox+uvv07fvn3x9vYGVC+Sp6enOUudEEIIIYSoKroB/5f3++vAJzasy62vxs8hKo/Bg1Vq7X37VAKFoCA1TM6amalnz56Nj48Pf/zxB40aNWLMmDGsXr2aJ598ssgcopycHN5//33atWuHj48PU6ZMYcuWLbi5ubFs2TIOHjyI0WhkyJAh/PLLLwwcONB6FRdCCCGEEDfhMeBvYA4wBmgAdLFpjW5VEhCVk15/LbW2tYWFhfHMM88A8Prrr5u3T5o0Ce26/N35837atGljHhbXpk0bunbtSrt27Wjbti2tWrUC1JpDbm5uhYbZCSGEEEKIquZ14ASwCXgA+BWVkltUJAmIqiG3UrIz1K1bl7p54/pGjhxp3l4wffbdd99ttboJIYQQQoiKYgd8jBpC9wfQH/gfIHPAK5JMIBFCCCGEEKLKcgO+BoKAv4DhQK5Na3SrkYBICCGEEEKIKi0Y+ApwBrYBz9q2OrcYCYiEEEIIIYSo8toBH+X9vhh414Z1ubVIQCSEEEIIIUS18CAwO+/3p4AfbFiXW4cEREIIIYQQQlQbLwAPA0ZgKCoLnbgZEhAJIYQQQghRbeiA94BOwBXs7R/AwSHVxnWq3iQgquJycnLIzb25TCJnz57FZDJVUI2EEEIIIYRtOaPWJgpBp4uiXbu5QI6N61R9yTpE5WU0wr59EBcHQUHQrZtardVKxowZw2+//Ya9/bV/qtjYWFxdXfHx8TFvi46OZsCAAaxbt67IMUaPHk3nzp157bXXynXunJwcUlJSSExM5OLFixw/fpwffviBQYMGFVrjSAghhBBCVLbawBY0rTP+/pGYTJNRPUc6G9er+pGAqDw2boQpU+DChWvbgoNh8WIYPNgqp/z4448B+N///oeTkxNt2rRh1KhRdOzYkQkTJgBgMBgYPnw4r7/+epHXnzt3jsjISDZv3mzR+UJCQsjJycHFxQUXFxfc3d05cuQIAwYMoGHDhtx+++24uLgUed2aNWvYs2cPa9asueFrFUIIIYQQ5dESo/ET9PrB2Nm9DzQHptu6UtWOBESW2rgRhg4FTSu8PTZWbV+/3mpBEcBbb71Fhw4daNOmDQCvv/46K1euRNM00tLSGDduHI0aNQJA0zT0ej3e3t7Y2alRkQ0bNix0vNzcXBwdHYmPjy+yfevWrdxxxx3mbaGhocyePZuIiAhSU1Px9PTEZDJhZ2fHK6+8wqOPPmoue/XqVV577TVeeukl3N3drdIWQgghhBBC0bR+REaOomXL91HrEzUCBti4VtWLBETp6SXv0+vB2VkNk5sypWgwBGqbTqf2Dxx4bfhcScd1cyt3FQ8ePMg333xDbm4uGRkZALzwwgvmHqLr6XQ6nJycOHToEKGhocWW+f333xlcTABnMpn4z3/+ww8//IBbXl2Tk5Pp1KkTer0eTdPIyspizJgxLFq0iNzcXDp37kyrVq1ISEjgtttuo3PnzmRkZEhAJIQQQghRCU6fHkDz5jrs7FYDI4D9QCsb16r6kICotA/t/frB1q1qzlDBYXLX0zS1f98+6NFDbQsNhYSE4suWw8WLF3n44YfZuHEju3fvJiIiAg8PDyIiIkhLS8PJyYmsrCySkpKIjo4mNDSUhg0bordgXlN+71FBubm5zJ8/n8aNG5u3hYaG8t133xXqIcp/7ezZs+natSuDBg0iKyuL2bNn8+KLL5brGoUQQgghxM3QYTS+g53dGWAXqofoV9Q8I1EWyTJnibi4ii1nobNnz9K3b19WrlzJwIEDWbRoEdu3b8fT05NFixbRoUMHIiIiaN68OV26dOGhhx4iobggrBwyMzNxcnJiwoQJhIeHEx4eTmxsLH369CEiIoI77riDt956C1C9ScOGDWP8+PEMHz6cu+66i+3bt9OuXTvOnTtXEU0ghBBCCCEs4gB8iRoydw4YBGTZskLVhvQQpaWVvC+/lyUoyLJjFSwXE3PDVcoXEhLCb7/9xhdffMHTTz9t3p6SkkLTpk1p2bKleVtYWBjTpk0r9Prw8PBSjx8cHFzoucFgID09HTc3NxISEnjxxRcZNWoUf/zxBw0aNMDT05Px48eTnjcc0M7OjgceeIDVq1ezYcMG9uzZwwcffMCHH35InTp1bvbyhRBCCCFEufgC3wAdgQPA48CnSOa50kkPkZtbyQ9nZ1WmWzeVTU5Xws2k00G9eqpcWcctJycnJ/bv30/Lli2ZM2cOc+bMoW3btgwePNj8/L777mPLli1FXhsVFUVubm6xjwMHDhQpHx8fj5OTE35+foWG040ePZpdu3aZn2sFhv099NBDeHh4FGgKHaNGjSqUJlwIIYQQQlSWCGA9qt/jc2C2batTDcinVkvo9Sq19tChKvgpOA8oP0hatMhq6xFpmsbs2bNZsmQJoNYh2r17N//3f/8HQHp6epHenhsRGRlJ/fr10el0ZGdnA6rX6MyZM7Ru3RqAwMBAvLy8irx21KhRjBo16qbrIIQQQgghbtbdwHJgHPBfoAkwzKY1qsqkh8hSgwer1Np16xbeHhxs9ZTb9vb2vP3220RGRhIZGcnAgQN56aWXiIyM5PDhw4wbN46tW7fe9Hm+/vpr2rVrB8CyZct44IEHWLZsGQ0aNOCPP/6gc+fOtG/fnunTJb+9EEIIIUTVNhbIn07xGCrJgiiO9BCVx+DBKrX2vn0qgUJQkBomZ6WeoXzvvPMOubm5pKamkp2dTWZmJmfOnGH//v38888/zJ8/n61bt7Jjxw7zoqlGo7HMOUQBAQHm38+ePcuHH37IunXrANUzNGvWLPNxGzRoQHx8PGPHjqVbt24sWbKEwMBA6120EEIIIYS4SfOAk8BWYCAqKKpn0xpVRdJDVF56vUqt/dBD6qeVg6GuXbvi4OCAl5cX4eHhdOnShdOnT3Pw4EEWLlzI1q1bGTlyJElJSYwZM8b8uuzs7DLnEOXk5JjLp6SkMHHiRPr168fs2bPp2LEjPj4+REZGEhERgYODA+PHj+fXX3/Fx8eHNWvWWPW6hRBCCCHEzdIDnwEtgEuodNylJBSroaSHqIrbsGEDjo6O+Pj4lFpu+vTp5Obmmp+fO3eOoFKy47Vt27ZQiu5WrVoxd+5cAGbMmMFzzz2Hg4NDkdd5enqycuXKYtcwEkIIIYQQVY0nsAVoDxwBHgE2Iv0i10hLVHG1a9cuMxgClUI7NDS00HNLFmctjrOzc7HBkBBCCCGEqI5Cgc2AE/AVMMuWlalyJCASQgghhBDiltcZWJ33+1zgAxvWpWqRgEgIIYQQQoga4WHgxbzfxwM/2rAuVYcEREIIIYQQQtQYrwBDAQMwGIi2bXWqAAmIhBBCCCGEqDHsgA+BtkAS0B+4YssK2ZwEREIIIYQQQtQorsDXQF3gb2AYkFvqK25lEhCVmxHYA3ye99NotTNlZWWxe/du9u3bx08//cSePXuIj4+nffv2pKen8/3339O/f38A5s2bx3//+98Sj3XbbbfJ2kFCCCGEECJPECodtyuwA5hi2+rYkKxDVC4bUTfLhQLbgoHFqDGYFSsjI4Nt27axdetWIiIiaNCgAd7e3iQnJ+Po6IiDgwNOTk4AODk5lbo2kIeHh0VpuPfs2cPLL7/Mnj17KuoyhBBCCCFElXQ78Anqc+xyoCnwtE1rZAvSQ2SxjagJaBeu2x6bt31jhZ/R19eXuXPn4u3tzUsvvcSCBQto3bo1rq6uNGvWjEcffZRffvmFFi1asGjRIuzs7NA0DaOxaK+Vvb09SUlJ5udRUVE888wz5sVcFy5cyB9//GHen5OTwyuvvMKFC9dfrxBCCCGEuHU8ALyZ9/sU4Hsb1sU2JCAivZRHVl4ZI+oG0Yp5ff62KRQePlfSMcsnMzOT06dP4+zszIkTJwA4cuQITz31FBMnTuTChQtERkZy+vRppk2bxl9//YW9vT16vR57e3vs7e3ZsGEDANu3bwfgwoUL9OvXj6ysLDRN1V+v13Pfffcxf/58Lly4QJs2bfj111/JysoqvmJCCCGEEOIW8W/gMcCEmk90zLbVqWQSEOFeymNIXpl9FO0ZKkjL27+vwLbQEo5ZPlu2bCE1NZW5c+fSqlUr3nzzTYKCgnjppZdYvHgxoaGhhIaGEhISgq+vLxkZGSQmJpKTk8OVK1dwcHCgU6dOAOzcuZPFixfTtWtXnn32WZYtW4aDgwMAkydPZuvWrfzvf/8jOjqazp078/XXXxMeHl7uOgshhBBCiOpEB7wLdANSUZnnLtu0RpVJAiKLxFVwOcuYTCbmzJmDj48Pa9aswcnJiVmzZhEXF0dQUBCHDh1i06ZN/PXXX5w9e5akpCTat2+Pr68ver2ebdu20bRpU+rUqQPAww8/zNSpU1myZAnjxo0rdK6pU6dy77338tBDD9GqVSvi4+Np3rw5hw8frtBrEkIIIYQQVZETagpIA+AMal5Rtk1rVFkkICKtlMeGvDJBFh6rYLmYEo5puW+//RZfX1/z8/ykCSdOnMDFxYXg4GBmzJjBtm3b2LlzJ88880yh18+fP5+xY8ean/fr148777yTkydPFjlXjx49OHLkCEOHDsXHx4dNmzbx6quvEhoaWq46CyGEEEKI6soP+AbwBH4CxlP8lJFbi2SZw82CMt1Q2eRiKf6m0OXt71bO45auX79+hISEcO+99xbavmLFCjp06MCAAQPIysrC09OTjz76iNtvv91c5uOPP+bixYuMHj260GtXrVpF+/btadKkCffdd595+6BBgwA4fvy4eduwYcNu+hqEEEIIIUR10gxYB/RDLeDaFDXH6NYlPUQW0aNSa4MKfgrKf74or1zFsbOzo1GjRubnJpOJixcvsn79emrVqkWnTp2Ijo7mr7/+omvXrjz66KMA/Pbbbzz55JO8++67ODs7FzpmREQEX3zxBcOGDWPevHkYDIZC+3v06CEpt4UQQggharQ+XPvs+xywyYZ1sT4JiCw2GFiPWtG3oOC87RW/DhGApmlcunSJ0NBQsrOzeeGFF/j3v//Na6+9RlhYGLm5ucybN4++ffvi5+fHvn37uOuuu5gxY0aRnqV8ffr0YfPmzcyfP5/OnTuTlla+oXxCCCGEEOJW9zQwMe/3R4A/SilbvcmQuXIZDAxEZZOLQ80Z6kZF9wwVlJmZSWBgIDExMSxcuJBBgwZRv359Dh8+zOTJk1mwYAGnTp2id+/efP7553Tp0oVPPvnEPATOaDRiZ2dHcnJyoYVbe/XqxdGjR4mPj8fdvfzZ74QQQgghxK1uMXAK2AEMAH4F6ti0RtYgAVG56YEelXY2BwcHXnnlFQCmTZsGwNNPP83q1auZPXu2eZicv78/d911FwcOHDAHQ6DWHGrUqBGBgYG0bdu20LEDAgIICAionAsRQgghhBDVjD1qPlEn4G9Ux8CPgKstK1XhZMhcFefh4cGYMWMKbXviiSc4cuQIzz77rHnbpEmTiIqKokmTJoXKhoSEcOTIEc6cOUP9+vUrpc5CCCGEEOJW4Y3KPFcL+J1rC7jeOiQgqoZat25NREREke1+fn7Flm/atCl6vfWG9QkhhBBCiFtZGGqNIgfU3Pn/2rY6FUwCIiGEEEIIIUQZugPv5v3+GvCpDetSsSQgEkIIIYQQQlhgNDAj7/cxwM82rEvFkYBICCGEEEIIYaE3UckVsoFBQIwtK1MhJCASQgghhBBCWEgPfALcBsSj0nGn2rRGN0sCIiGEEEIIIUQ5uANbgEAgEhgB5AB7gM/zfhptVLfyk3WIqrmcnBwcHR1tXQ0hhBBCCFGj1AO+Au4EtqLScqcV2B+MWth1cOVXrZwkICono9HIvn37iIuLIygoiG7dulVaSmsPDw8uX76Ms7MzAPv37+fRRx/l9OnTxZafNWsWa9euJSQkpNj9P//8M6dOnZL1iYQQQgghxA1oD0wEFlA4GAKIBYai0nRX7aBIhsyVw8aNGwkNDeWuu+5ixIgR3HXXXYSGhrJx48ZKOb+DgwNOTk7m546Ojvj6+pKVlUViYiK5ubmFyru4uGAymcjNzS32kV/menv27KFHjx5WvRYhhBBCCFHdGYF1JezT8n5OpaoPn5MeIgtt3LiRoUOHomlaoe2xsbEMHTqU9evXM3iwdaLfli1bkpOTQ2pqKk2bNmXQoEGcOXOGo0ePcuHCBXr16sWBAweIiYmhbt265tcZjUbuvfdeRo0aVexx77///kJB1MKFCwsFQjk5Obz55puMGTOG4OBgq1ybEEIIIYSorvYBF0rZrwHn88r1qIwK3ZAaHxClp6eXuE+v1+Ps7IzRaGTKlClFgiEATdPQ6XRMmTKFgQMHmofPlXRcNze3ctfxzz//BMDPz4+///7bvH3fvn3MmTOHrVu34uXlRe3atQu9rkuXLuzdu5dvvvmm2OOOGzfOPPwO1PXed999tGnThgsXLtCmTRvq16/Pww8/XO46CyGEEEKIW11cBZezjRofELm7u5e4r1+/fmzdupV9+/Zx4ULJ0a+maVy4cIF9+/aZe1hCQ0NJSEgotmx5GQwGjh8/jsFgYOTIkURERHD06FHc3Nxo1KgRAPb29tjbq3/O999/n3nz5uHp6Ym7uzs6na7Y45pMJrZt24aHhwd79uxh8uTJdOvWjZ49e5KUlMS4ceNYvnx5pc2REkIIIYQQ1UlQBZezjRofEFkiLs6yqNbScuWRkpJCnTp1aNasGdnZ2Tz66KN069aNo0ePcu+999KzZ09ycnJwd3fHYDDg4ODA448/zuOPP8727ds5efJkqccfMmQIQUHqJp06dSpr167loYceYt++fcTHx9O8eXPWrl1L69atK/zahBBCCCFEddYNlU0ulmtzhgrS5e3vVpmVKrcaHxClpV2fEeOa/J6R/IChLAXLxcTE3FS98nl5eREXF4enpyd+fn706tULACcnJ5ydndE0jTvvvJOQkBAOHz7Mp59+ypNPPknjxo1Zu3YtOp2OAQMGAPDmm2/St29fbr/9dgCefvppOnXqZK53jx49mDVrFsePHycyMpJNmzaxbt06QkNDK+RahBBCCCHErUSPSq09FBX8FAyK8kcoLcorV3XV+IDIkjk93bp1Izg4mNjY2GKHvOl0OoKDg+nW7Vr0eyNzhUqSnp7Ozp07zUPf4uPjeeSRR3jttdcYNWoU27Zt48yZM0yZMoXTp08ze/ZsAOzs7Ni1axcnTpwAICoqig0bNvDDDz8AkJSUhJ3dtUSDgwYNAuD48ePmbcOGDauw6xBCCCGEELeawajU2lMonGAhGBUMVe2U2yABkUX0ej2LFy9m6NCh6HS6QkFRfpCyaNEiq821cXJyYtWqVSxcuBCAuXPn0rlzZ0aPHg2ouU4mk4n09HQaNWqEh4cHABEREdjZ2REQEADA5cuXadWqFQ0bNgTA39+/UFKFfD169GDPnj1WuRYhhBBCCHGrGQwMRGWTi0PNGepGVe8ZyicBkYUGDx7M+vXrmTJlSqEEC8HBwSxatMhqKbdBJT+IiIjgX//6F1FRUYwZM4aIiAh+/vlnLl26xAMPPMD27dvZtWsXM2fOBFTK7C+//BJHR0eOHTsGQEJCAkePHuXcuXMA5Obmsnv3bpo2bWq1ugshhBBCiJpAT1VOrV0aCYjKYfDgwQwcOJB9+/YRFxdHUFAQ3bp1s3oWtnnz5nHx4kUcHBzYtm0be/fu5csvvyQjI4Np06Zx//3306tXL5599lk2b97MoEGDcHBwYPPmzdSuXducfW7QoEFMmDCBvn37ApCZmWnVegshhBBCCFHVSUBUTnq9vtDipdYWExPD8uXLOXToEAAjR45k1qxZpKSkcPfdd+Po6Mj+/fvp3r07r732GvPnz6dTp0706dMHT0/PQnOEoqOjef7555kzZ455W1ZWFq1bt2blypWVdk1CCCGEEEJUFRIQVXH169dn165d5vWGvLy8OHnyJF5eXgAcPXrUPA9o4MCB9OnTBxcXFw4fPmyrKgshhBBCCFFt2JVdRNiSnZ0d7dq1K7StTp065t8LJkXQ6XS4uLhUWt2EEEIIIYSo7mpUQFRcymxRueTfQAghhBBCVCU1IiBycHAAICMjw8Y1Efn/Bvn/JkIIIYQQQthSjZhDpNfr8fb2Jj4+HgBXV1fz+kHCciaTiZycHLKysgola7CEpmlkZGQQHx+Pt7e31TPzCSGEEEIIYQmbB0R9+/Zl+PDhjBo1isjISEaPHk1UVBRPPPEEc+fOrbDAJTAwEMAcFIny0zSNzMxMXFxcbvjfxdvb2/xvIYQQQgghhK3ZNCD69NNP+f777xk+fDjZ2dkMGDCAPn36sHbtWiZPnsyaNWsYPXp0hZxLp9MRFBREQEAABoOhQo5Z0xgMBvbu3Uv37t1vaMibg4OD9AwJIYQQQogqxWYBUVJSEs888wyNGzcGYNu2baSkpLBgwQJcXV154403eOqpp0oMiLKzs8nOzjY/T01NBdSH9rICHvlQfmNMJhO5ubno9fobakOTyYTJZLJCzW4N+fetBOzWIe1rXdK+1iXta13SvtYl7Wtd0r7FK0976DQbpf0aPXo0zs7OZGZm0qNHD86ePcsvv/zCt99+C6jhWbVq1SIpKanY17/88su88sorRbZ/9tlnuLq6WrXuQgghhBBCiKorIyODESNGkJKSgqenZ6llbdJDtHv3bn744QciIyOZPHkyoHp4GjRoYC6j0+nQ6/UkJyfj4+NT5BizZs1i+vTp5uepqanUq1ePu+66i1q1aln/Imogg8HAjh076NWrl2SJswJpX+uS9rUuaV/rkva1Lmlf65L2tS5p3+Lljx6zRKUHRFlZWYwfP54VK1YUitbs7e1xcnIqVNbZ2ZmMjIxiAyInJ6ci5UHNU5Gbwbqkja1L2te6pH2tS9rXuqR9rUva17qkfa1L2rew8rRFpQdEs2fPpl27dtx3332Ftvv6+hIZGVlo29WrV3F0dLTouPkj/65evSo3g5UYDAYyMjJITU2VNrYCaV/rkva1Lmlf65L2tS5pX+uS9rUuad/i5fcQWTI7qNLnEDVo0IDLly9jb69isYyMDOzt7QkNDcVgMHDq1CkAYmJiaNq0KWlpaRZN4D99+jRhYWFWrbsQQgghhBCi+jh//jzBwcGllqn0HqJ9+/aRm5trfv7ss8/SsWNHRo0aRbNmzfjoo48YOXIkc+bMoWfPnhZnM/P19QXg3LlzeHl5WaXuNV3+PK3z58+XOTlNlJ+0r3VJ+1qXtK91Sftal7SvdUn7Wpe0b/E0TePq1avUqVOnzLKVHhBdH6G5u7vj5+eHn58fq1atYsSIEcyYMQOj0ciPP/5o8XHt7OwA8PLykpvByjw9PaWNrUja17qkfa1L2te6pH2tS9rXuqR9rUvatyhLO0lsujArwJo1a8y/Dxo0iFOnTvH777/TuXNn/P39bVcxIYQQQgghxC3P5gHR9erWrUvdunVtXQ0hhBBCCCFEDWBn6wpUFCcnJ/773/8Wm4pbVAxpY+uS9rUuaV/rkva1Lmlf65L2tS5pX+uS9r15lZ5lTgghhBBCCCGqilumh0gIIYQQQgghyksCIiGEEEIIIUSNJQGREEIIIYQQosaSgEgIIYQQQghRY1WJgCgxMZEGDRoQExNjLOjM3QAADH1JREFU3vbBBx/QokULvL29eeihh0hISLBoX2RkJO3atcPHx4cZM2Zgac6IH3/8kaZNm+Ln58eCBQsq7Nqqgops36+++oqGDRtib29Phw4dOH78uEV1GDBgADqdzvzo2bNnhV2frVVk+06aNKlQO4WHh1tUB7l/y27fNWvWFGrb/EfBtdBKcqvevyX9fy7tffRG95XmVr1/K7p95f23sIpuX3n/Lawi21fef4t3I20Mxf9dtOR1JblV7+Fy0Wzs8uXLWseOHTVAO3PmjKZpmrZjxw7N3d1d2759uxYTE6P169dP69q1a5n7srKytNDQUG38+PFaVFSU1q9fP+39998vsw7x8fGap6en9sorr2gnT57U7rjjDm3Xrl1Wu+bKVJHtGxUVpfn4+GhffPGFdunSJe3BBx/UOnfubFE9goKCtD///FNLTk7WkpOTtbS0NKtcb2WryPbVNE3r1KmTtnXrVnM7paamllkHuX8ta9/s7GxzuyYnJ2vnz5/X/Pz8tOjo6DLrcSvevyX9fy7tffRG95XmVr1/K7p95f23sIpuX02T99+CKrp95f23qBtpY00r/u+ipsl78M2yeUB0zz33aIsWLSr0D/voo49qU6dONZf566+/NEBLSEgodd+mTZs0Hx8fLT09XdM0TTt8+LDWpUuXMuuwcOFCrXHjxprJZNI0TdM2b96sPfzwwxV4lbZTke27ZcsWbcWKFeZ9u3bt0hwdHcusw/nz57XAwMCKu6gqpCLb12AwaB4eHtrVq1fLVQe5fy1r3+u9/vrr2rhx48qsw616/5b0/7m099Eb3VeaW/X+rej2lfffwiq6feX9t7CKbt/r1fT3X027sTbWtOL/LmqavAffLJsPmVu1ahVTpkwptC0hIYH69eubn+v1egDs7e1L3XfkyBE6duyIq6srAK1ateLYsWNl1uHIkSPcfffd6HQ6ANq3b8+hQ4du7sKqiIps3/79+zNhwgTzvhMnTlg0pODXX3/FaDQSHByMm5sbw4cPJzk5+aauq6qoyPY9evQomqbRunVrXFxc6Nu3L+fOnSuzDnL/Wta+BWVlZbF48WJmzZpVZh1u1fu3pP/Ppb2P3ui+0tyq929Ft6+8/xZW0e0r77+FVXT7FiTvv8qNtDEU/3cR5D34Ztk8IGrYsGGRba1bt+brr782j3384IMPaN++PV5eXqXuS01NpUGDBubj6HQ69Hp9mf95rn+dp6cnsbGxFXF5NleR7VtQTk4Ob7/9NhMnTiyzDidPnqRNmzZ8//33/P7778TExPD8889XwNXZXkW27/Hjx2nevDmff/45x44dw8HBgfHjx5dZB7l/y3//fvbZZ3Ts2JHQ0NAy63Ar37/5Cv5/Lu199Eb3leZWvn/zVUT7lnS8ssj9a1n7yvtvySr6/pX336IsbWMo/u8iFL0X5T24fGweEBXn2WefJScnhzZt2tC5c2feeustnn766TL32dvb4+TkVOhYzs7OZGRklHq+619nyWuqsxtt34JefPFF3N3dGTduXJnne+6559i2bRvNmzenadOmvPXWW6xfv77Cr6uquNH2ffjhhzlw4ADt2rWjQYMGLF26lO3bt5Oamlrq+eT+Lf/9u3LlykLfzJWmJty/Bf8/l/Y+eqP7SlMT7t+KaN+SjlcWuX8ta195/y1ZRd+/8v5blKVtXBp5D745VTIg8vX1Zf/+/axbt45WrVrRpEkTRowYYdG+y5cvFzrW1atXcXR0LPN8BV9nyWuqsxtt33w7duxg5cqVfPbZZzg4OJT7/N7e3iQkJJCdnV0h11PV3Gz75vP29sZkMhEXF1fm+eT+tbx9o6KiiIqKuuFMRbfa/Xv9/+fS3kdvdF9pbvX7t6Lat6TjlZfcv5bdo/L+q1R0+8r7b1HlaePSyHvwTbLV5KXrcd3kME3TtPT0dM3f31/btGlTkfLF7fvhhx+08PBw8/MzZ85ozs7OWm5ubqnnXr16tdazZ0/z8927d2uNGjW6oeuoqiqifTVN06KjozV/f3/tk08+sfjcQ4YM0X7++Wfz8//7v/+75SZJVkT7Tps2Tfviiy/Mz3fs2KHZ2dmZJ0iWRO7fTUXKl7bv9ddf1x599FGLz30r37/F/X8u7X30RveV5la+fyuyfUs6Xlnk/rWsfeX9t6iKvn81Td5/r1feNi7o+r+L8h58c6p0QDRnzhytW7duxZYvbp/BYND8/f21Dz/8UNM0TRs/frzWv39/8/6UlBQtJyenyLEuX76sOTs7a7t27dIMBoN23333aU8//fRNXlHVUhHtm5GRoTVt2lQbO3asdvXqVfMjPzNJSe37yiuvaB07dtQOHDigbdmyRQsMDNReffXVirmwKqIi2vfDDz/UwsPDtR9//FH74YcftCZNmmiPP/64eb/cv2cKbStv++br1q1bsalIa9r9W9L/55ycnBLfR0t7j5X338Iqun3l/bewim5fef8trKLbN5+8/15zI21c0PV/F+U9+OZU2YAoOTlZ8/X11X799dciZUvbt2nTJs3FxUULCAjQatWqpUVGRpr3hYSEFPuNsaZp2rJlyzQHBwfNz89PCwkJ0S5dunTT11SVVET7btq0SQOKPPKPW1L75uTkaI8//rjm4eGhhYWFaa+88opmMBgq8vJsrqLu3+eee07z9vbW6tWrp02ePLnQegty/54xP7/R9s3IyNAcHR2148ePF9lX0+7f0v4/l/Y+eqP7atr9W9HtK++/hVnj/pX332us0b7y/lvYjbZxvuK+KJT34Bun0zQLl7GtRmJjY/n999/p3Lkz/v7+Fr8uKiqK48ePc+edd+Lp6WnFGgpR8eT+FRWptPfRG91Xmpp2/1qjDcU1ld2+cv9atk9Y7kbbUd6Db8wtGRAJIYQQQgghhCWqZJY5IYQQQgghhKgMEhAJIYQQQgghaiwJiIQQQgghhBA1lgREQgghhBBCiBpLAiIhhBDVSnlzAf3666+kp6cX2Z6bm0tWVlZFVUsIIUQ1JQGREEKIaiMxMZE6deqwceNGi18zYsQIPv30UwBOnDjB4sWLARg6dChr1661Sj2FEEJUHxIQCSGEqDbmzJmDq6sr/fr1K7JP0zRycnIwGAzmbT/++CM5OTmMHj0agA0bNvDDDz8AMGDAALZt21Y5FRdCCFFlyTpEQgghqoWjR4/Srl07GjdujJ2d+j7vxIkT1K1bF3d3d4xGI9nZ2Tz11FNMmTIFgF69etG7d29mzJiByWSicePGLFmyhL59+5KYmEhISAinTp0iKCjIlpcmhBDChiQgEkIIUeWlp6fTvn172rVrx5o1a8zbW7duzdtvv03Pnj2LvGb79u306dOHzz//nOHDh7NmzRqWLFnCwYMHzWVmzJhBQkICH3zwQWVchhBCiCpIhswJIYSo0gwGA0OGDMFgMLBkyZJiy5hMJgwGgzl5wtWrV3nyySfx9fUF4Ny5c0yfPp133nmn0Ov+85//sH37dtavX2/dixBCCFFlSQ+REEKIKk3TNLZv3069evW4//77sbOzw9XVFVBD5urUqYObmxtGoxFvb2/279/Pe++9x/79+0lOTuaee+5hyZIleHh4cOrUKRwdHQsdv3Xr1vz666+cOHFChs4JIUQNJAGREEKIaqNFixa89957dOzYESh9yJzBYODBBx9k6NChZGRkMHr0aI4fP86QIUM4deoUAMOHD6dXr17cc889hIaGVualCCGEqCLsbV0BIYQQojQmkwlN09Dr9eZkCqUxGo3Y2dnh4OAAgL29PePGjQMgOTmZwMBAc1mDwYCbm5sEQ0IIUYNJQCSEEKJK27BhAzNnzsTJyQl7e3smTJhg3nfixAkmTJiAu7s7oBZbzc7O5uOPPzb3IhX0008/0bZtW/PzrKwsXFxcrH8RQgghqiwJiIQQQlRpDz74IA8++GCx+0obMgdq/lG+zMxMPvzwQ9577z3zttTUVHMwJYQQomaSgEgIIUS1ZTQaMRqNJe7PyckhNzeX1NRUhg8fzh133EH37t2Jiori/PnzREZGUqdOnUqssRBCiKpGAiIhhBDVVmZmJjk5OSXuz8nJwWAwsGrVKvR6vXkNo61bt7Jy5UrGjx9P06ZNK6m2QgghqiLJMieEEKJGMJlMFiVlEEIIUbNIQCSEEEIIIYSoseSrMiGEEEIIIUSNJQGREEIIIYQQosaSgEgIIYQQQghRY0lAJIQQQgghhKixJCASQgghhBBC1FgSEAkhhBBCCCFqLAmIhBBCCCGEEDWWBERCCCGEEEKIGuv/AdgA9Wg3Dms+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wave</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1991.0</th>\n",
       "      <td>1991.0</td>\n",
       "      <td>55.606466</td>\n",
       "      <td>71.153784</td>\n",
       "      <td>419.753915</td>\n",
       "      <td>2425.119552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993.0</th>\n",
       "      <td>1993.0</td>\n",
       "      <td>54.770379</td>\n",
       "      <td>69.538326</td>\n",
       "      <td>398.933121</td>\n",
       "      <td>2327.940400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997.0</th>\n",
       "      <td>1997.0</td>\n",
       "      <td>54.546586</td>\n",
       "      <td>62.925706</td>\n",
       "      <td>352.748114</td>\n",
       "      <td>2176.877281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000.0</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>63.431544</td>\n",
       "      <td>62.224123</td>\n",
       "      <td>331.109845</td>\n",
       "      <td>2145.120018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004.0</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>61.983453</td>\n",
       "      <td>61.791077</td>\n",
       "      <td>319.310028</td>\n",
       "      <td>2097.624135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006.0</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>64.321892</td>\n",
       "      <td>62.055288</td>\n",
       "      <td>312.564881</td>\n",
       "      <td>2077.247727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009.0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>69.700077</td>\n",
       "      <td>62.257729</td>\n",
       "      <td>297.563395</td>\n",
       "      <td>2046.369174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011.0</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>71.946814</td>\n",
       "      <td>60.476415</td>\n",
       "      <td>259.392996</td>\n",
       "      <td>1882.855691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             0          1          2           3            4\n",
       "wave                                                         \n",
       "1991.0  1991.0  55.606466  71.153784  419.753915  2425.119552\n",
       "1993.0  1993.0  54.770379  69.538326  398.933121  2327.940400\n",
       "1997.0  1997.0  54.546586  62.925706  352.748114  2176.877281\n",
       "2000.0  2000.0  63.431544  62.224123  331.109845  2145.120018\n",
       "2004.0  2004.0  61.983453  61.791077  319.310028  2097.624135\n",
       "2006.0  2006.0  64.321892  62.055288  312.564881  2077.247727\n",
       "2009.0  2009.0  69.700077  62.257729  297.563395  2046.369174\n",
       "2011.0  2011.0  71.946814  60.476415  259.392996  1882.855691"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "average_dsfat_by_year = df1.groupby('wave')['脂肪'].mean()\n",
    "\n",
    "average_dspro_by_year = df1.groupby('wave')['蛋白质'].mean()\n",
    "average_dscarb_by_year = df1.groupby('wave')['碳水化合物'].mean()\n",
    "# 获取 Series 的索引列\n",
    "index_column = average_dsfat_by_year.index.to_series()\n",
    "\n",
    "# 将 Series 转换为 DataFrame，并指定列名\n",
    "indexdf = index_column.to_frame(name='wave')\n",
    "\n",
    "\n",
    "newdf = average_dsfat_by_year.to_frame()\n",
    "newdf1 = average_dspro_by_year.to_frame()\n",
    "newdf = pd.concat([indexdf, newdf],ignore_index=True,axis=1)\n",
    "newdf.columns.values[0] = '1'\n",
    "newdf.columns.values[1] = '2'\n",
    "newdf.columns\n",
    "# newdf = average_dsfat_by_year.to_frame()\n",
    "# newdf = newdf.rename(columns={0: 'wave'})\n",
    "# newdf.columns\n",
    "\n",
    "# 绘制折线图\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(newdf.iloc[:, 0], newdf.iloc[:, 1], marker='o', linestyle='-', color='b', label='脂肪')\n",
    "\n",
    "\n",
    "newdf1 = pd.concat([newdf, newdf1],ignore_index=True,axis=1)\n",
    "\n",
    "newdf2 = average_dscarb_by_year.to_frame()\n",
    "newdf2 = pd.concat([newdf1, newdf2],ignore_index=True,axis=1)\n",
    "\n",
    "average_dscarb_by_year = df.groupby('wave')['热量'].mean()\n",
    "newdf3 = average_dscarb_by_year.to_frame()\n",
    "newdf3 = pd.concat([newdf2, newdf3],ignore_index=True,axis=1)\n",
    "newdf3\n",
    "\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 2], marker='o', linestyle='-', label='蛋白质',color = 'red')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 3]/5, marker='o', linestyle='-',label='碳水',color = 'yellow')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 4]/37, marker='o', linestyle='-', label='热量',color = 'black')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "average_dsfat_by_year = df2.groupby('wave')['脂肪'].mean()\n",
    "\n",
    "average_dspro_by_year = df2.groupby('wave')['蛋白质'].mean()\n",
    "average_dscarb_by_year = df2.groupby('wave')['碳水化合物'].mean()\n",
    "# 获取 Series 的索引列\n",
    "index_column = average_dsfat_by_year.index.to_series()\n",
    "\n",
    "# 将 Series 转换为 DataFrame，并指定列名\n",
    "indexdf = index_column.to_frame(name='wave')\n",
    "\n",
    "\n",
    "newdf = average_dsfat_by_year.to_frame()\n",
    "newdf1 = average_dspro_by_year.to_frame()\n",
    "newdf = pd.concat([indexdf, newdf],ignore_index=True,axis=1)\n",
    "newdf.columns.values[0] = '1'\n",
    "newdf.columns.values[1] = '2'\n",
    "newdf.columns\n",
    "# newdf = average_dsfat_by_year.to_frame()\n",
    "# newdf = newdf.rename(columns={0: 'wave'})\n",
    "# newdf.columns\n",
    "\n",
    "\n",
    "plt.plot(newdf.iloc[:, 0], newdf.iloc[:, 1], marker='o', linestyle='--', color='b', label='脂肪*')\n",
    "\n",
    "\n",
    "newdf1 = pd.concat([newdf, newdf1],ignore_index=True,axis=1)\n",
    "\n",
    "newdf2 = average_dscarb_by_year.to_frame()\n",
    "newdf2 = pd.concat([newdf1, newdf2],ignore_index=True,axis=1)\n",
    "\n",
    "average_dscarb_by_year = df.groupby('wave')['热量'].mean()\n",
    "newdf3 = average_dscarb_by_year.to_frame()\n",
    "newdf3 = pd.concat([newdf2, newdf3],ignore_index=True,axis=1)\n",
    "newdf3\n",
    "\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 2], marker='o', linestyle='--', label='蛋白质*',color = 'red')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 3]/5, marker='o', linestyle='--',label='碳水*',color = 'yellow')\n",
    "plt.plot(newdf3.iloc[:, 0], newdf3.iloc[:, 4]/37, marker='o', linestyle='--', label='热量*',color = 'black')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('平均摄入量')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('平均值')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 显示图表\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "newdf3"
   ]
  }
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